From 3567813c51216a4c8efd59540ffe0fed48582da2 Mon Sep 17 00:00:00 2001 From: Kristofer Koishigawa Date: Thu, 28 May 2020 22:40:36 +0900 Subject: [PATCH] feat(curriculum): add python multiple choice questions (#38890) --- .../python-for-penetration-testing/meta.json | 2 +- .../build-your-own-functions.english.md | 2 +- .../comparing-and-sorting-tuples.english.md | 2 +- .../dictionaries-and-loops.english.md | 2 +- .../files-as-a-sequence.english.md | 10 ++-- .../iterations-definite-loops.english.md | 2 +- .../iterations-loop-idioms.english.md | 4 +- .../loops-and-iterations.english.md | 2 +- .../networking-using-urllib-in-python.md | 6 +-- ...orking-web-scraping-with-python.english.md | 2 +- .../networking-write-a-web-browser.english.md | 36 +++++++++----- .../object-lifecycle.english.md | 2 +- .../objects-a-sample-class.english.md | 2 +- .../python-dictionaries.english.md | 2 +- .../python-functions.english.md | 10 ++-- .../python-objects.english.md | 8 +-- ...ns-matching-and-extracting-data.english.md | 2 +- .../relational-database-design.english.md | 2 +- ...relational-databases-and-sqlite.english.md | 2 +- .../strings-in-python.english.md | 2 +- .../the-tuples-collection.english.md | 2 +- .../web-services-apis.english.md | 2 +- .../web-services-json.english.md | 2 +- ...vices-service-oriented-approach.english.md | 2 +- .../web-services-xml.english.md | 2 +- ...ata-cleaning-and-visualizations.english.md | 3 +- .../data-cleaning-duplicates.english.md | 3 +- .../data-cleaning-introduction.english.md | 37 ++++++++++++-- .../data-cleaning-with-dataframes.english.md | 46 +++++++++++++++-- ...-to-use-jupyter-notebooks-intro.english.md | 8 +-- .../introduction-to-data-analysis.english.md | 11 +++-- ...ks-importing-and-exporting-data.english.md | 12 +++-- .../numpy-arrays.english.md | 30 ++++++++++-- .../numpy-boolean-arrays.english.md | 18 +++++-- .../numpy-introduction-a.english.md | 10 ++-- .../numpy-introduction-b.english.md | 12 +++-- .../numpy-operations.english.md | 17 +++++-- ...ection-and-modifying-dataframes.english.md | 49 +++++++++++++++++-- .../pandas-creating-columns.english.md | 34 +++++++++++-- .../pandas-dataframes.english.md | 40 +++++++++++++-- ...exing-and-conditional-selection.english.md | 39 +++++++++++++-- .../pandas-introduction.english.md | 44 +++++++++++++++-- ...ython-functions-and-collections.english.md | 10 ++-- .../reading-data-from-databases.english.md | 6 +-- .../reading-data-introduction.english.md | 33 +++++++++++-- ...hanging-elements,-rows,-columns.english.md | 22 +++++++-- .../numpy/basics-of-numpy.english.md | 2 +- .../numpy/copying-arrays-warning.english.md | 23 +++++++-- .../numpy/initialize-array-problem.english.md | 44 +++++++++++++++-- .../initializing-different-arrays.english.md | 28 +++++++++-- ...ding-data-and-advanced-indexing.english.md | 39 +++++++++++++-- .../numpy/mathematics.english.md | 20 ++++++-- .../numpy/reorganizing-arrays.english.md | 33 +++++++++++-- .../numpy/what-is-numpy.english.md | 11 +++-- .../creating-a-tcp-client.english.md | 15 ++++-- .../developing-a-banner-grabber.english.md | 20 ++++++-- .../developing-a-port-scanner.english.md | 12 +++-- ...veloping-an-nmap-scanner-part-1.english.md | 13 +++-- ...veloping-an-nmap-scanner-part-2.english.md | 32 ++++++++++++ ...eloping-and-nmap-scanner-part-2.english.md | 27 ---------- .../introduction-and-setup.english.md | 12 +++-- ...ckets-and-creating-a-tcp-server.english.md | 13 +++-- .../deep-learning-demystified.english.md | 12 +++-- ...volutional-neural-networks-work.english.md | 11 +++-- .../how-deep-neural-networks-work.english.md | 11 +++-- ...and-long-short-term-memory-lstm.english.md | 10 ++-- .../tensorflow/conclusion.english.md | 11 +++-- ...l-networks-evaluating-the-model.english.md | 8 +-- ...orks-picking-a-pretrained-model.english.md | 34 +++++++++++-- ...etworks-the-convolutional-layer.english.md | 10 ++-- .../convolutional-neural-networks.english.md | 9 ++-- ...g-algorithms-building-the-model.english.md | 13 +++-- ...rning-algorithms-classification.english.md | 10 ++-- ...-learning-algorithms-clustering.english.md | 12 +++-- ...algorithms-hidden-markov-models.english.md | 10 ++-- ...algorithms-the-training-process.english.md | 10 ++-- ...ithms-training-and-testing-data.english.md | 10 ++-- ...obabilities-to-make-predictions.english.md | 11 +++-- ...ng-algorithms-working-with-data.english.md | 9 ++-- .../core-learning-algorithms.english.md | 14 ++++-- ...-a-convolutional-neural-network.english.md | 35 +++++++++++-- ...n-machine-learning-fundamentals.english.md | 11 +++-- .../introduction-to-tensorflow.english.md | 12 +++-- ...ng-with-rnns-building-the-model.english.md | 45 +++++++++++++++-- ...th-rnns-create-a-play-generator.english.md | 26 ++++++++-- ...ng-with-rnns-making-predictions.english.md | 11 +++-- ...age-processing-with-rnns-part-2.english.md | 9 ++-- ...-rnns-recurring-neural-networks.english.md | 15 ++++-- ...-with-rnns-sentimental-analysis.english.md | 33 +++++++++++-- ...ng-with-rnns-training-the-model.english.md | 39 +++++++++++++-- ...l-language-processing-with-rnns.english.md | 11 +++-- ...l-networks-activation-functions.english.md | 10 ++-- ...eural-networks-creating-a-model.english.md | 35 +++++++++++-- .../neural-networks-optimizers.english.md | 10 ++-- ...neural-networks-with-tensorflow.english.md | 9 ++-- ...earning-with-q-learning-example.english.md | 31 ++++++++++-- ...learning-with-q-learning-part-2.english.md | 9 ++-- ...cement-learning-with-q-learning.english.md | 10 ++-- 98 files changed, 1118 insertions(+), 398 deletions(-) create mode 100644 curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-an-nmap-scanner-part-2.english.md delete mode 100644 curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-and-nmap-scanner-part-2.english.md diff --git a/curriculum/challenges/_meta/python-for-penetration-testing/meta.json b/curriculum/challenges/_meta/python-for-penetration-testing/meta.json index 89eecdc9b3..b303790da1 100644 --- a/curriculum/challenges/_meta/python-for-penetration-testing/meta.json +++ b/curriculum/challenges/_meta/python-for-penetration-testing/meta.json @@ -26,7 +26,7 @@ ], [ "5ea9997bbec2e9bc47e94db2", - "Developing and Nmap Scanner part 2" + "Developing an Nmap Scanner part 2" ], [ "5ea9997bbec2e9bc47e94db3", diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/build-your-own-functions.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/build-your-own-functions.english.md index b32cc4550b..f782ffb87d 100644 --- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/build-your-own-functions.english.md +++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/build-your-own-functions.english.md @@ -18,7 +18,7 @@ More resources: ```yml question: - text: 'What will the following Python program print out? + text: 'What will the following Python program print out?: 
def fred():
   print("Zap")

def jane():
   print("ABC")

 

 jane()

diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/comparing-and-sorting-tuples.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/comparing-and-sorting-tuples.english.md
index ce1e67d573..6d90ceeaaf 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/comparing-and-sorting-tuples.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/comparing-and-sorting-tuples.english.md
@@ -18,7 +18,7 @@ More resources:
 
 ```yml
 question:
-  text: 'Which does the same thing as the following code:
+  text: 'Which does the same thing as the following code?:
 
lst = []
for key, val in counts.items():
    newtup = (val, key)
    lst.append(newtup)

lst = sorted(lst, reverse=True)
print(lst)
'
   answers:
     - 'print( sorted( [ (k,v) for k,v in counts.items() ] ) )'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/dictionaries-and-loops.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/dictionaries-and-loops.english.md
index acb7d8ad33..d1f8e31d9c 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/dictionaries-and-loops.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/dictionaries-and-loops.english.md
@@ -18,7 +18,7 @@ More resources:
 
 ```yml
 question:
-  text: "What will the following code print?
+  text: "What will the following code print?:
 
counts = { 'chuck' : 1 , 'annie' : 42, 'jan': 100}

 for key in counts:
    if counts[key] > 10 :
        print(key, counts[key])
"
   answers:
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/files-as-a-sequence.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/files-as-a-sequence.english.md
index 26f24e68ff..1feabd9f12 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/files-as-a-sequence.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/files-as-a-sequence.english.md
@@ -18,12 +18,12 @@ More resources:
 
 ```yml
 question:
-  text: "What does the word 'continue' do in the middle of a loop."
+  text: "What does the word 'continue' do in the middle of a loop?"
   answers:
-    - 'skips to the code directly after the loop'
-    - 'skips to the next line in the code'
-    - 'skips to the next iteration of the loop'
-    - 'skips the next block of code'
+    - 'Skips to the code directly after the loop.'
+    - 'Skips to the next line in the code.'
+    - 'Skips to the next iteration of the loop.'
+    - 'Skips the next block of code.'
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/iterations-definite-loops.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/iterations-definite-loops.english.md
index b9b241098a..06f24946d0 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/iterations-definite-loops.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/iterations-definite-loops.english.md
@@ -17,7 +17,7 @@ videoId: hiRTRAqNlpE
 
 ```yml
 question:
-  text: 'How many lines will the following code print?
+  text: 'How many lines will the following code print?:
 
for i in [2,1,5]:
    print(i)
'
   answers:
     - '1'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/iterations-loop-idioms.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/iterations-loop-idioms.english.md
index 85c7f575b3..be4e36aac0 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/iterations-loop-idioms.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/iterations-loop-idioms.english.md
@@ -17,12 +17,12 @@ videoId: AelGAcoMXbI
 
 ```yml
 question:
-  text: 'Below is code to find the smallest value from a list of values. One line has an error that will cause the code to not work as expected. Which line is it?
+  text: 'Below is code to find the smallest value from a list of values. One line has an error that will cause the code to not work as expected. Which line is it?:
 
 1|smallest = None

 2|print("Before:", smallest)

 3|for itervar in [3, 41, 12, 9, 74, 15]:

-4|    if smallest is None or itervar ⋖ smallest:

+4|    if smallest is None or itervar < smallest:

 5|        smallest = itervar

 6|        break

 7|    print("Loop:", itervar, smallest)

diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/loops-and-iterations.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/loops-and-iterations.english.md
index 222b42832f..5cb732a5f8 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/loops-and-iterations.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/loops-and-iterations.english.md
@@ -17,7 +17,7 @@ videoId: dLA-szNRnUY
 
 ```yml
 question:
-  text: 'What will the following code print out:
+  text: 'What will the following code print out?:
 
 n = 0

 while True:
    if n == 3:
        break
    print(n)
    n = n + 1
'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-using-urllib-in-python.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-using-urllib-in-python.md
index d18fd914bc..f6bea376da 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-using-urllib-in-python.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-using-urllib-in-python.md
@@ -17,15 +17,15 @@ videoId: 7lFM1T_CxBs
 
 ```yml
 question:
-  text: "What will the output of the following code be like:
+  text: "What will the output of the following code be like?:
 
import urllib.request

 

 fhand = urllib.request.urlopen('http://data.pr4e.org/romeo.txt')

 for line in fhand:
    print(line.decode().strip())
"
   answers:
     - 'Just contents of "romeo.txt".'
-    - 'A header and the contents of "romeo.txt"'
-    - 'A header, a footer, and the contents of "romeo.txt"'
+    - 'A header and the contents of "romeo.txt".'
+    - 'A header, a footer, and the contents of "romeo.txt".'
   solution: 1
 ```
 
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-web-scraping-with-python.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-web-scraping-with-python.english.md
index 0bb9f9fec6..9193ea16e3 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-web-scraping-with-python.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-web-scraping-with-python.english.md
@@ -20,7 +20,7 @@ More resources:
 
 ```yml
 question:
-  text: 'What Python library is used for parsing HTML documents and extracting data from HTML documents.'
+  text: 'What Python library is used for parsing HTML documents and extracting data from HTML documents?'
   answers:
     - 'socket'
     - 'http'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-write-a-web-browser.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-write-a-web-browser.english.md
index afe21683e3..7fa901c264 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-write-a-web-browser.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/networking-write-a-web-browser.english.md
@@ -17,20 +17,30 @@ videoId: zjyT9DaAjx4
 
 ```yml
 question:
-  text: "What does the following code create?
-  
-import socket

-

-mysock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

-mysock.connect(('data.pr4e.org', 80))

-cmd = 'GET http://data.pr4e.org/romeo.txt HTTP/1.0\r\n\r\n'.encode()

-mysock.send(cmd)

-
while True:
    data = mysock.recv(512)
    if len(data) < 1:
        break
    print(data.decode(),end='')

mysock.close()
"
+  text: |
+    What does the following code create?:
+
+    ```py
+    import socket
+ 
+    mysock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    mysock.connect(('data.pr4e.org', 80))
+    cmd = 'GET http://data.pr4e.org/romeo.txt HTTP/1.0\r\n\r\n'.encode()
+    mysock.send(cmd)
+    
+    while True:
+        data = mysock.recv(512)
+            if len(data) < 1:
+                break
+            print(data.decode(),end='')
+    mysock.close()
+    ```
+
   answers:
-    - 'simple web server'
-    - 'simple email client'
-    - 'simple todo list'
-    - 'simple web browser'
+    - 'A simple web server.'
+    - 'A simple email client.'
+    - 'A simple todo list.'
+    - 'A simple web browser.'
   solution: 4
 ```
 
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/object-lifecycle.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/object-lifecycle.english.md
index 8f4e6befca..38b3a13142 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/object-lifecycle.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/object-lifecycle.english.md
@@ -17,7 +17,7 @@ videoId: p1r3h_AMMIM
 
 ```yml
 question:
-  text: "What will the following program print:
+  text: "What will the following program print?:
 
 class PartyAnimal:
   x = 0
   name = ''
   def __init__(self, nam):
     self.name = nam
     print(self.name,'constructed')

   def party(self):
     self.x = self.x + 1
     print(self.name,'party count',self.x)

 

diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/objects-a-sample-class.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/objects-a-sample-class.english.md
index 51b2e0e5a5..cf6da8fb01 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/objects-a-sample-class.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/objects-a-sample-class.english.md
@@ -17,7 +17,7 @@ videoId: FiABKEuaSJ8
 
 ```yml
 question:
-  text: 'What will the following program print:
+  text: 'What will the following program print?:
 
class PartyAnimal:
   x = 0

   def party(self) :
     self.x = self.x + 2
     print(self.x)

 

 an = PartyAnimal()

diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-dictionaries.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-dictionaries.english.md
index eddf06fa84..3ddcde2c78 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-dictionaries.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-dictionaries.english.md
@@ -17,7 +17,7 @@ videoId: dnzvfimrRMg
 
 ```yml
 question:
-  text: 'What does dict equal after running this code?
+  text: 'What does dict equal after running this code?:
 
dict = {"Fri": 20, "Thu": 6, "Sat": 1}

 dict["Thu"] = 13

 dict["Sat"] = 2

diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-functions.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-functions.english.md
index 9b1a573413..cbedee2052 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-functions.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-functions.english.md
@@ -19,11 +19,11 @@ videoId: 3JGF-n3tDPU
 question:
   text: 'What is the purpose of the "def" keyword in Python?'
   answers:
-    - 'It is slang that means "the following code is really cool"'
-    - 'It indicates the start of a function'
-    - 'It indicates that the following indented section of code is to be stored for later'
-    - 'b and c are both true'
-    - 'None of the above'
+    - 'It is slang that means "The following code is really cool."'
+    - 'It indicates the start of a function.'
+    - 'It indicates that the following indented section of code is to be stored for later.'
+    - 'b and c are both true.'
+    - 'None of the above.'
   solution: 4
 ```
 
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-objects.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-objects.english.md
index ea6b6349b6..c799702eba 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-objects.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/python-objects.english.md
@@ -19,10 +19,10 @@ videoId: uJxGeTYy0us
 question:
   text: 'Which is NOT true about objects in Python?'
   answers:
-  - 'Objects get created and used'
-  - 'Objects are bits of code and data'
-  - 'Objects hide detail'
-  - 'Objects are one of the five standard data types'
+  - 'Objects get created and used.'
+  - 'Objects are bits of code and data.'
+  - 'Objects hide detail.'
+  - 'Objects are one of the five standard data types.'
   solution: 4
 ```
 
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/regular-expressions-matching-and-extracting-data.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/regular-expressions-matching-and-extracting-data.english.md
index eadd4a0ec3..3c6b807e80 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/regular-expressions-matching-and-extracting-data.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/regular-expressions-matching-and-extracting-data.english.md
@@ -17,7 +17,7 @@ videoId: LaCZnTbQGkE
 
 ```yml
 question:
-  text: "What will the following program print:
+  text: "What will the following program print?:
 
 import re

 s = 'A message from csev@umich.edu to cwen@iupui.edu about meeting @2PM'

diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/relational-database-design.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/relational-database-design.english.md
index 5f10de1a2d..a0a1884ec9 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/relational-database-design.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/relational-database-design.english.md
@@ -17,7 +17,7 @@ videoId: AqdfbrpkbHk
 
 ```yml
 question:
-  text: 'What is the best practice for how many times a peice of string data should be stored in a database?'
+  text: 'What is the best practice for how many times a piece of string data should be stored in a database?'
   answers:
     - '0'
     - '1'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/relational-databases-and-sqlite.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/relational-databases-and-sqlite.english.md
index 710c3d6480..f3caf2e5c8 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/relational-databases-and-sqlite.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/relational-databases-and-sqlite.english.md
@@ -17,7 +17,7 @@ videoId: QlNod5-kFpA
 
 ```yml
 question:
-  text: 'Which is NOT a primary data structures in a database?'
+  text: 'Which is NOT a primary data structure in a database?'
   answers:
     - 'index'
     - 'table'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/strings-in-python.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/strings-in-python.english.md
index 1f1fbb4387..cbba92c594 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/strings-in-python.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/strings-in-python.english.md
@@ -17,7 +17,7 @@ videoId: LYZj207fKpQ
 
 ```yml
 question:
-  text: 'What will the following code print?
+  text: 'What will the following code print?:
 
for n in "banana":
    print(n)
'
   answers:
     - 'n
n'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/the-tuples-collection.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/the-tuples-collection.english.md
index 3d832ecc6c..d70d45b0b3 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/the-tuples-collection.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/the-tuples-collection.english.md
@@ -17,7 +17,7 @@ videoId: 3Lxpladfh2k
 
 ```yml
 question:
-  text: "What will the following code print?
+  text: "What will the following code print?:
 
d = dict()
d['quincy'] = 1
d['beau'] = 5
d['kris'] = 9
for (k,i) in d.items():
    print(k, i)
"
   answers:
     - 'k i
k i
k i'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-apis.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-apis.english.md
index 5c27ec6061..c207da90f0 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-apis.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-apis.english.md
@@ -20,7 +20,7 @@ question:
   text: 'What does API stand for?'
   answers:
     - 'Application Portable Intelligence'
-    - 'Accociate Programming International'
+    - 'Associate Programming International'
     - 'Application Program Interface'
     - 'Action Portable Interface'
   solution: 3
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-json.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-json.english.md
index ee1d2fd071..d9a19a7b4e 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-json.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-json.english.md
@@ -17,7 +17,7 @@ videoId: ZJE-U56BppM
 
 ```yml
 question:
-  text: "What will the following code print?
+  text: "What will the following code print?:
 
import json

 

 data = '''
[
  { 'id' : '001',
    'x' : '2',
    'name' : 'Quincy'
  } ,
  { 'id' : '009',
    'x' : '7',
    'name' : 'Mrugesh'
  }
]'''

diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-service-oriented-approach.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-service-oriented-approach.english.md
index ee07d0bc2c..5d676f58d1 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-service-oriented-approach.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-service-oriented-approach.english.md
@@ -17,7 +17,7 @@ videoId: muerlsCHExI
 
 ```yml
 question:
-  text: 'With a services oriented approach to developing web apps, where is the data located.'
+  text: 'With a services oriented approach to developing web apps, where is the data located?'
   answers:
     - 'Spread across many computer systems connected via the internet or internal network.'
     - 'Within different services on the main web server.'
diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-xml.english.md b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-xml.english.md
index 7368b22568..573f321639 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-xml.english.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/python-for-everybody/web-services-xml.english.md
@@ -17,7 +17,7 @@ videoId: _pZ0srbg7So
 
 ```yml
 question:
-  text: 'What is wrong with the following XML?
+  text: 'What is wrong with the following XML?:
 
<person>

 <name>Chuck</name>

 <phone type="intl">
  +1 734 303 4456

diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-and-visualizations.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-and-visualizations.english.md
index f7002e4582..9063dc4e48 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-and-visualizations.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-and-visualizations.english.md
@@ -15,7 +15,8 @@ videoId: mHjxzFS5_Z0
 
 ```yml
 question:
-  text: 'When using Matplotlib''s global API, what does the order of numbers mean here 
plt.subplot(1, 2, 1)
'
+  text: |
+    When using Matplotlib's global API, what does the order of numbers mean here?: `plt.subplot(1, 2, 1)`
   answers:
     - 'My figure will have one column, two rows, and I am going to start drawing in the first (left) plot.'
     - 'I am going to start drawing in the first (left) plot, my figure will have two rows, and my figure will have one column.'
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-duplicates.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-duplicates.english.md
index 14e2c2bb41..6bb293d3a2 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-duplicates.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-duplicates.english.md
@@ -15,7 +15,8 @@ videoId: kj7QqjXhH6A
 
 ```yml
 question:
-  text: 'The Python method .duplicated() returns a boolean Series for your DataFrame. True is the return value for rows that:'
+  text: |
+    The Python method `.duplicated()` returns a boolean Series for your DataFrame. `True` is the return value for rows that:
   answers:
     - contain a duplicate, where the value for the row contains the first occurrence of that value.
     - contain a duplicate, where the value for the row is at least the second occurrence of that value.
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.english.md
index 8b30bd555a..9d3c70b651 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.english.md
@@ -15,12 +15,39 @@ videoId: ovYNhnltVxY
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print out?:
+
+    ```py
+    import pandas as pd
+    import numpy as np
+
+    s = pd.Series(['a', 3, np.nan, 1, np.nan])
+
+    print(s.notnull().sum())
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - '3'
+    - |
+      ```
+      0     True
+      1     True
+      2    False
+      3     True
+      4    False
+      dtype: bool
+      ```
+    - |
+      ```
+      0    False
+      1    False
+      2     True
+      3    False
+      4     True
+      dtype: bool
+      ```
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.english.md
index 851e5d32d1..4be3b3f83f 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.english.md
@@ -15,12 +15,48 @@ videoId: sTMN_pdI6S0
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print out?:
+
+    ```py
+    import pandas as pd
+    import numpy as np
+
+    s = pd.Series([np.nan, 1, 2, np.nan, 3])
+    s = s.fillna(method='ffill')
+
+    print(s)
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```
+      0    1.0
+      1    1.0
+      2    2.0
+      3    3.0
+      4    3.0
+      dtype: float64
+      ```
+    - |
+      ```
+      0    NaN
+      1    1.0
+      2    2.0
+      3    2.0
+      4    3.0
+      dtype: float64
+      ```
+    - |
+      ```
+      0    NaN
+      1    1.0
+      2    2.0
+      3    NaN
+      4    3.0
+      dtype: float64
+      ```
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/how-to-use-jupyter-notebooks-intro.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/how-to-use-jupyter-notebooks-intro.english.md
index da23029454..2bd89d90be 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/how-to-use-jupyter-notebooks-intro.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/how-to-use-jupyter-notebooks-intro.english.md
@@ -15,11 +15,11 @@ videoId: h8caJq2Bb9w
 
 ```yml
 question:
-  text: Question
+  text: What is *not* allowed in a Jupyter Notebook's cell?
   answers:
-    - one
-    - two
-    - three
+    - "Markdown"
+    - "Python code"
+    - "An Excel sheet"
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/introduction-to-data-analysis.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/introduction-to-data-analysis.english.md
index 869a163dc4..fd486822a1 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/introduction-to-data-analysis.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/introduction-to-data-analysis.english.md
@@ -15,12 +15,13 @@ videoId: VJrP2FUzKP0
 
 ```yml
 question:
-  text: Question
+  text: "Why should you choose R over Python for data analysis?"
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - "It's simple to learn."
+    - "It's better at dealing with advanced statistical methods."
+    - "There are many powerful libraries that support R."
+    - "It's free and open source."
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/jupyter-notebooks-importing-and-exporting-data.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/jupyter-notebooks-importing-and-exporting-data.english.md
index 22e566be07..38b0a340dc 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/jupyter-notebooks-importing-and-exporting-data.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/jupyter-notebooks-importing-and-exporting-data.english.md
@@ -15,12 +15,14 @@ videoId: k1msxD3JIxE
 
 ```yml
 question:
-  text: Question
+  text: "What kind of data can you import and work with in a Jupyter Notebook?"
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - "Excel files."
+    - "CSV files."
+    - "XML files."
+    - "Data from an API."
+    - "All of the above."
+  solution: 5
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.english.md
index 18aef81115..546de8101e 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.english.md
@@ -15,11 +15,33 @@ videoId: VDYVFHBL1AM
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print out?:
+
+    ```py
+    A = np.array([
+        ['a', 'b', 'c'],
+        ['d', 'e', 'f'],
+        ['g', 'h', 'i']
+    ])
+
+    print(A[:, :2])
+    ```
+
   answers:
-    - one
-    - two
-    - three
+    - "[['a' 'b']]"
+    - |
+      ```
+      [['b' 'c']
+      ['e' 'f']
+      ['h' 'i']]
+      ```
+    - |
+      ```
+      [['a' 'b']
+      ['d' 'e']
+      ['g' 'h']]
+      ```
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-boolean-arrays.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-boolean-arrays.english.md
index 2a05a9d8f2..c4044109ba 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-boolean-arrays.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-boolean-arrays.english.md
@@ -15,12 +15,20 @@ videoId: N1ttsMmcVMM
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print out?:
+
+    ```py
+    a = np.arange(5)
+
+    print(a <= 3)
+    ```
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - "[False, False, False, False, True]"
+    - "[5]"
+    - "[0, 1, 2, 3]"
+    - "[True, True, True, True, False]"
+  solution: 4
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-a.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-a.english.md
index dc07ea469e..b4c320cb13 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-a.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-a.english.md
@@ -15,12 +15,12 @@ videoId: P-JjV6GBCmk
 
 ```yml
 question:
-  text: Question
+  text: "Why is Numpy an important, but unpopular Python library?"
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - "Often you won't work directly with Numpy."
+    - "It's is extremely slow."
+    - "Working with Numpy is difficult."
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-b.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-b.english.md
index 0b3b533652..e958bca3b1 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-b.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-b.english.md
@@ -15,12 +15,14 @@ videoId: YIqgrNLAZkA
 
 ```yml
 question:
-  text: Question
+  text: |
+    About how much memory does the integer `5` consume in plain Python?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - 32 bits
+    - 20 bytes
+    - 16 bytes
+    - 8 bits
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-operations.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-operations.english.md
index 5ec07436ee..a3946316a5 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-operations.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-operations.english.md
@@ -15,12 +15,19 @@ videoId: eqSVcJbaPdk
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is the value of `a` after you run the following code?:
+
+    ```py
+    a = np.arange(5)
+    a + 20
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - "[20, 21, 22, 24, 24]"
+    - "[0, 1, 2, 3, 4, 5]"
+    - "[25, 26, 27, 28, 29]"
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-condtitional-selection-and-modifying-dataframes.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-condtitional-selection-and-modifying-dataframes.english.md
index 21512f5545..59093356bc 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-condtitional-selection-and-modifying-dataframes.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-condtitional-selection-and-modifying-dataframes.english.md
@@ -15,12 +15,51 @@ videoId: BFlH0fN5xRQ
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print out?:
+
+    ```py
+    import pandas as pd
+
+    certificates_earned = pd.DataFrame({
+        'Certificates': [8, 2, 5, 6],
+        'Time (in months)': [16, 5, 9, 12]
+    })
+    names = ['Tom', 'Kris', 'Ahmad', 'Beau']
+
+    certificates_earned.index = names
+    longest_streak = pd.Series([13, 11, 9, 7], index=names)
+    certificates_earned['Longest streak'] = longest_streak
+
+    print(certificates_earned)
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```
+      Tom      13
+      Kris     11
+      Ahmad     9
+      Beau      7
+      Name: Longest streak, dtype: int64
+      ```
+    - |
+      ```
+            Certificates  Time (in months)  Longest streak
+      Tom               8                16              13
+      Kris              2                 5              11
+      Ahmad             5                 9               9
+      Beau              6                12               7
+      ```
+    - |
+      ```
+            Certificates   Longest streak
+      Tom               8               13
+      Kris              2               11
+      Ahmad             5                9
+      Beau              6                7
+      ```
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-creating-columns.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-creating-columns.english.md
index a9c13a18eb..d9f10c8fa2 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-creating-columns.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-creating-columns.english.md
@@ -15,11 +15,37 @@ videoId: _sSo2XZoB3E
 
 ```yml
 question:
-  text: Question
+  text: |
+    What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?:
+
+    ```
+          Certificates  Time (in months)  Certificates per month
+    Tom               8                16                    0.50
+    Kris              2                 5                    0.40
+    Ahmad             5                 9                    0.56
+    Beau              6                12                    0.50
+    ```
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      ```py
+      certificates_earned['Certificates'] /
+      certificates_earned['Time (in months)']
+      ```
+    - |
+      ```py
+      certificates_earned['Certificates per month'] = round(
+          certificates_earned['Certificates'] / 
+          certificates_earned['Time (in months)']
+      )
+      ```
+    - |
+      ```py
+      certificates_earned['Certificates per month'] = round(
+          certificates_earned['Certificates'] /
+          certificates_earned['Time (in months)'], 2
+      )
+      ```
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-dataframes.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-dataframes.english.md
index 0ea1a04ff7..c8ac7dc4c7 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-dataframes.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-dataframes.english.md
@@ -15,11 +15,43 @@ videoId: 7SgFBYXaiH0
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print out?:
+
+    ```py
+    import pandas as pd
+
+    certificates_earned = pd.DataFrame({
+        'Certificates': [8, 2, 5, 6],
+        'Time (in months)': [16, 5, 9, 12]
+    })
+
+    certificates_earned.index = ['Tom', 'Kris', 'Ahmad', 'Beau']
+
+    print(certificates_earned.iloc[2])
+    ```
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      ```
+      Tom      16
+      Kris      5
+      Ahmad     9
+      Beau     12
+      Name: Time (in months), dtype: int64
+      ```
+    - |
+      ```
+      Certificates         6
+      Time (in months)    12
+      Name: Beau, dtype: int64
+      ```
+    - |
+      ```
+      Certificates        5
+      Time (in months)    9
+      Name: Ahmad, dtype: int64
+      ```
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.english.md
index 2a42bb094d..f7c6a62018 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.english.md
@@ -15,11 +15,42 @@ videoId: -ZOrgV_aA9A
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print out?:
+
+    ```py
+    import pandas as pd
+
+    certificates_earned = pd.Series(
+        [8, 2, 5, 6], 
+        index=['Tom', 'Kris', 'Ahmad', 'Beau']
+    )
+
+    print(certificates_earned[certificates_earned > 5])
+    ```
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      ```
+      Tom      True
+      Kris     False
+      Ahmad    False
+      Beau     True
+      dtype: int64
+      ```
+    - |
+      ```
+      Tom      8
+      Ahmad    5
+      Beau     6
+      dtype: int64
+      ```
+    - |
+      ```
+      Tom      8
+      Beau     6
+      dtype: int64
+      ```
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-introduction.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-introduction.english.md
index eeaa34dc16..7ac1f1522b 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-introduction.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-introduction.english.md
@@ -15,12 +15,46 @@ videoId: 0xACW-8cZU0
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print out?:
+
+    ```py
+    import pandas as pd
+
+    certificates_earned = pd.Series(
+        [8, 2, 5, 6], 
+        index=['Tom', 'Kris', 'Ahmad', 'Beau']
+    )
+
+    print(certificates_earned)
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```
+      Tom      8
+      Kris     2
+      Ahmad    5
+      Beau     6
+      dtype: int64
+      ```
+    - |
+      ```
+      Kris     2
+      Ahmad    5
+      Beau     6
+      Tom      8
+      dtype: int64
+      ```
+    - |
+      ```
+      Tom      8
+      Kris     2
+      Ahmad    5
+      Beau     6
+      Name: certificates_earned dtype: int64
+      ```
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/python-functions-and-collections.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/python-functions-and-collections.english.md
index ce65cc39af..e569a07225 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/python-functions-and-collections.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/python-functions-and-collections.english.md
@@ -15,12 +15,12 @@ videoId: NzpU17ZVlUw
 
 ```yml
 question:
-  text: Question
+  text: What is the main difference between lists and tuples in Python?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Tuples are immutable.
+    - Lists are ordered.
+    - Tuples are unordered.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-from-databases.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-from-databases.english.md
index 1e316c2bd8..7ee8c6e9d4 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-from-databases.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-from-databases.english.md
@@ -17,9 +17,9 @@ videoId: MtgXS1MofRw
 question:
   text: What method does a Cursor instance have and what does it allow?
   answers:
-    - The Cursor instance has a .Run() method which allows you to run SQL queries.
-    - The Cursor instance has a .Select() method which allows you to select records.
-    - The Cursor instance has a .Execute() method which will receive SQL parameters to run against the database.
+    - The Cursor instance has a .run() method which allows you to run SQL queries.
+    - The Cursor instance has a .select() method which allows you to select records.
+    - The Cursor instance has an .execute() method which will receive SQL parameters to run against the database.
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.english.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.english.md
index 714b8ea0e2..2dd98b7b84 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.english.md
@@ -15,12 +15,35 @@ videoId: cDnt02BcHng
 
 ```yml
 question:
-  text: Question
+  text: |
+    Given a file named `certificates.csv` with these contents:
+
+    ```
+    Name$Certificates$Time (in months)
+    Tom$8$16
+    Kris$2$5
+    Ahmad$5$9
+    Beau$6$12
+    ```
+
+    Fill in the blanks for the missing arguments below:
+
+    ```py
+    import csv
+
+    with open(___, 'r') as fp:
+        reader = csv.reader(fp, delimiter=___)
+        next(reader)
+        for index, values in enumerate(reader):
+            name, certs_num, months_num = values
+            print(f"{name} earned {___} certificates in {months_num} months")
+    ```
+  
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - 'certificates.csv', '-', values
+    - 'certificates.csv', '$', certs_num
+    - 'certificates', '$', certs_num
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/accessing-and-changing-elements,-rows,-columns.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/accessing-and-changing-elements,-rows,-columns.english.md
index ec2eb258e4..7b56b65e13 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/accessing-and-changing-elements,-rows,-columns.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/accessing-and-changing-elements,-rows,-columns.english.md
@@ -15,11 +15,25 @@ videoId: v-7Y7koJ_N0
 
 ```yml
 question:
-  text: Question
+  text: |
+    What code would change the values in the 3rd column of both of the following Numpy arrays to 20?:
+
+    ```py
+    a = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
+
+    # Output:
+    # [[ 1  2  3  4  5]
+    # [ 6  7 20  9 10]]
+    ```
   answers:
-    - one
-    - two
-    - three
+    - |
+      `a[:, 3] = 20`
+    - |
+      `a[2, :] = 20`
+    - |
+      `a[:, 2] = 20`
+    - |
+      `a[1, 2] = 20`
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/basics-of-numpy.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/basics-of-numpy.english.md
index 84026916e3..b6dfb3247c 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/basics-of-numpy.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/basics-of-numpy.english.md
@@ -15,7 +15,7 @@ videoId: f9QrZrKQMLI
 
 ```yml
 question:
-  text: 'What will the following code print:
b = np.array([[1.0,2.0,3.0],[3.0,4.0,5.0]])
print(b)
'
+  text: 'What will the following code print?:
b = np.array([[1.0,2.0,3.0],[3.0,4.0,5.0]])
print(b)
'
   answers:
     - '
[[1.0 2.0 3.0]
[3.0 4.0 5.0]]
'
     - '
[[1. 2. 3.]
[3. 4. 5.]]
'
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/copying-arrays-warning.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/copying-arrays-warning.english.md
index 33946d1b50..2486a9b51b 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/copying-arrays-warning.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/copying-arrays-warning.english.md
@@ -15,12 +15,25 @@ videoId: iIoQ0_L0GvA
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is the value of `a` after running the following code?:
+
+    ```py
+    import numpy as np
+
+    a = np.array([1, 2, 3, 4, 5])
+    b = a
+    b[2] = 20
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      `[1, 2, 3, 4, 5]`
+    - |
+      `[1, 2, 20, 4, 5]`
+    - |
+      `[1, 20, 3, 4, 5]`
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/initialize-array-problem.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/initialize-array-problem.english.md
index 00e900954e..5046acd512 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/initialize-array-problem.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/initialize-array-problem.english.md
@@ -15,12 +15,46 @@ videoId: 0jGfH8BPfOk
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is another way to produce the following array?:
+
+    ```
+    [[1. 1. 1. 1. 1.]
+    [1. 0. 0. 0. 1.]
+    [1. 0. 9. 0. 1.]
+    [1. 0. 0. 0. 1.]
+    [1. 1. 1. 1. 1.]]
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```py
+      output = np.ones((5, 5))
+
+      z = np.zeros((3, 3))
+      z[1, 1] = 9
+
+      output[1:-1, 1:-1] = z
+      ```
+    - |
+      ```py
+      output = np.ones((5, 5))
+
+      z = np.zeros((3, 3))
+      z[1, 1] = 9
+
+      output[1:3, 1:3] = z
+      ```
+    - |
+      ```py
+      output = np.ones((5, 5))
+
+      z = np.zeros((3, 3))
+      z[1, 1] = 9
+
+      output[4:1, 4:1] = z
+      ```
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/initializing-different-arrays.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/initializing-different-arrays.english.md
index 7d2143baa8..964ac0e163 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/initializing-different-arrays.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/initializing-different-arrays.english.md
@@ -15,12 +15,30 @@ videoId: CEykdsKT4U4
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print?:
+    
+    ```py
+    a = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
+
+    print(np.full_like(a, 100))
+    ```
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```
+      [[100 100 100 100 100]]
+      ```
+    - |
+      ```
+      [[100 100 100 100 100]
+      [100 100 100 100 100]]
+      ```
+    - |
+      ```
+      [[ 1  2  3  4  5]
+      [ 6  7 20  9 10]]
+      ```
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/loading-data-and-advanced-indexing.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/loading-data-and-advanced-indexing.english.md
index d5d39da704..f23e588917 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/loading-data-and-advanced-indexing.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/loading-data-and-advanced-indexing.english.md
@@ -15,11 +15,42 @@ videoId: tUdBZ7pF8Jg
 
 ```yml
 question:
-  text: Question
+  text: |
+    Given a file named `data.txt` with these contents:
+
+    ```
+    29,97,32,100,45
+    15,88,5,75,22
+    ```
+
+    What code would produce the following array?:
+
+    ```py
+    [29. 32. 45. 15.  5. 22.]
+    ```
+  
   answers:
-    - one
-    - two
-    - three
+    - |
+      ```
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = np.any(filedata < 50)
+
+      print(output)
+      ```
+    - |
+      ```
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = np.all(filedata < 50, axis=1)
+
+      print(output)
+      ```
+    - |
+      ```
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = filedata[filedata < 50]
+
+      print(output)
+      ```
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/mathematics.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/mathematics.english.md
index f6b854f886..d17e02de1c 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/mathematics.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/mathematics.english.md
@@ -15,12 +15,22 @@ videoId: 7txegvyhtVk
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is the value of `b` after running the following code?:
+
+    ```py
+    import numpy as np
+
+    a = np.array(([1, 2, 3, 4, 5], [6, 7, 8, 9, 10]))
+    b = np.max(a, axis=1).sum()
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - '10'
+    - '7'
+    - '5'
+    - '15'
+  solution: 4
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/reorganizing-arrays.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/reorganizing-arrays.english.md
index ded4870f1a..35e0b038c1 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/reorganizing-arrays.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/reorganizing-arrays.english.md
@@ -15,12 +15,35 @@ videoId: VNWAQbEM-C8
 
 ```yml
 question:
-  text: Question
+  text: |
+    What code would produce the following array?:
+
+    ```
+    [[1. 1.]
+    [1. 1.]
+    [1. 1.]
+    [1. 1.]]
+    ```
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```py
+      a = np.ones((2, 4))
+      b = a.reshape((4, 2))
+      print(b)
+      ```
+    - |
+      ```py
+      a = np.ones((2, 4))
+      b = a.reshape((2, 4))
+      print(b)
+      ```
+    - |
+      ```py
+      a = np.ones((2, 4))
+      b = a.reshape((8, 1))
+      print(b)
+      ```
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/08-data-analysis-with-python/numpy/what-is-numpy.english.md b/curriculum/challenges/english/08-data-analysis-with-python/numpy/what-is-numpy.english.md
index 2251a732a5..805c55f55b 100644
--- a/curriculum/challenges/english/08-data-analysis-with-python/numpy/what-is-numpy.english.md
+++ b/curriculum/challenges/english/08-data-analysis-with-python/numpy/what-is-numpy.english.md
@@ -15,12 +15,13 @@ videoId: 5Nwfs5Ej85Q
 
 ```yml
 question:
-  text: Question
+  text: 'Why are Numpy arrays faster than regular Python lists?:'
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Numpy does not perform type checking while iterating through objects.
+    - Numpy uses fixed types.
+    - Numpy uses contiguous memory.
+    - All of the above.
+  solution: 4
 ```
 
 
diff --git a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/creating-a-tcp-client.english.md b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/creating-a-tcp-client.english.md
index c619399be8..db433c81b2 100644
--- a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/creating-a-tcp-client.english.md
+++ b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/creating-a-tcp-client.english.md
@@ -15,12 +15,17 @@ videoId: ugYfJNTawks
 
 ```yml
 question:
-  text: Question
+  text: |
+    Which socket object method lets you set the maximum amount of data your client accepts at once?
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      `.recv(1024)`
+    - |
+      `.decode('ascii')`
+    - |
+      `.connect(host, port)`
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-banner-grabber.english.md b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-banner-grabber.english.md
index 0c366a6695..c79cb5491c 100644
--- a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-banner-grabber.english.md
+++ b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-banner-grabber.english.md
@@ -15,11 +15,23 @@ videoId: CeGW761BIsA
 
 ```yml
 question:
-  text: Question
+  text: |
+    Fill in the blanks to complete the `banner` function below:
+
+    ```py
+    def banner(ip, port):
+        s = socket.socket()
+        s.____((ip, ____))
+        print(s.recv(1024))
+    ```
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      `connect`, `port`
+    - |
+      `getsockname`, `'1-1024'`
+    - |
+      `connect`, `int(port)`
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-port-scanner.english.md b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-port-scanner.english.md
index ea25b0f665..f720fade99 100644
--- a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-port-scanner.english.md
+++ b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-port-scanner.english.md
@@ -15,11 +15,15 @@ videoId: z_qkqZS7KZ4
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is the main difference between the `.connect()` and `.connect_ex()` methods?
+
   answers:
-    - one
-    - two
-    - three
+    - There is no difference between the two methods.
+    - |
+      If there is an error or if no host is found, `.connect()` returns an error code while `.connect_ex()` raises an exception.
+    - |
+      If there is an error or if no host is found, `.connect()` raises an exception while `.connect_ex()` returns an error code.
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-an-nmap-scanner-part-1.english.md b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-an-nmap-scanner-part-1.english.md
index 5ccf1e0025..4698a90fd2 100644
--- a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-an-nmap-scanner-part-1.english.md
+++ b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-an-nmap-scanner-part-1.english.md
@@ -15,11 +15,16 @@ videoId: jYk9XaGoAnk
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is the correct command to install the Python 3 version of the `python-nmap` library?
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      `sudo apt install python-nmap`
+    - |
+      `pip install python-nmap`
+    - |
+      `pip3 install python-nmap`
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-an-nmap-scanner-part-2.english.md b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-an-nmap-scanner-part-2.english.md
new file mode 100644
index 0000000000..58a8357789
--- /dev/null
+++ b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-an-nmap-scanner-part-2.english.md
@@ -0,0 +1,32 @@
+---
+id: 5ea9997bbec2e9bc47e94db2
+title: Developing an Nmap Scanner part 2
+challengeType: 11
+isHidden: true
+videoId: a98PscnUsTg
+---
+
+## Description
+

+

+
+## Tests
+

+
+```yml
+question:
+  text: |
+    Which of the following allows you to scan for UDP ports between 21 to 443?
+
+  answers:
+    - |
+      `.scan(ip_addr, '21-443', '-v -sU')`
+    - |
+      `.scan(ip_addr, '1-1024', '-v -sS')`
+    - |
+      `.scan(ip_addr, '21-443', '-v -sS')`
+  solution: 1
+```
+
+

+
diff --git a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-and-nmap-scanner-part-2.english.md b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-and-nmap-scanner-part-2.english.md
deleted file mode 100644
index 346b7070fa..0000000000
--- a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-and-nmap-scanner-part-2.english.md
+++ /dev/null
@@ -1,27 +0,0 @@
----
-id: 5ea9997bbec2e9bc47e94db2
-title: Developing and Nmap Scanner part 2
-challengeType: 11
-isHidden: true
-videoId: a98PscnUsTg
----
-
-## Description
-

-

-
-## Tests
-

-
-```yml
-question:
-  text: Question
-  answers:
-    - one
-    - two
-    - three
-  solution: 3
-```
-
-

-
diff --git a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/introduction-and-setup.english.md b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/introduction-and-setup.english.md
index c98db87e95..0d64453214 100644
--- a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/introduction-and-setup.english.md
+++ b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/introduction-and-setup.english.md
@@ -15,12 +15,14 @@ videoId: XeQ7ZKtb998
 
 ```yml
 question:
-  text: Question
+  text: |
+    What code editor and extension does the instructor recommend for developing penetration testing tools in Python?
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Atom and the atom-python-run extension.
+    - VSCode and Microsoft's Python extension.
+    - Sublime Text and the Anaconda package.
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/understanding-sockets-and-creating-a-tcp-server.english.md b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/understanding-sockets-and-creating-a-tcp-server.english.md
index 939b50e4fb..198977057f 100644
--- a/curriculum/challenges/english/09-information-security/python-for-penetration-testing/understanding-sockets-and-creating-a-tcp-server.english.md
+++ b/curriculum/challenges/english/09-information-security/python-for-penetration-testing/understanding-sockets-and-creating-a-tcp-server.english.md
@@ -15,11 +15,16 @@ videoId: F1QI9tNuDQg
 
 ```yml
 question:
-  text: Question
+  text: |
+    Which of the following functions creates a socket object?
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      `socket.bind((host, port))`
+    - |
+      `socket.gethostbyname()`
+    - |
+      `socket.socket(socket.AF_INET, socket.SOCK_STREAM)`
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/deep-learning-demystified.english.md b/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/deep-learning-demystified.english.md
index d545bc12c7..073cc9d1ed 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/deep-learning-demystified.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/deep-learning-demystified.english.md
@@ -15,12 +15,14 @@ videoId: bejQ-W9BGJg
 
 ```yml
 question:
-  text: Question
+  text: How should you assign weights to input neurons before training your network for the first time?
+  
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - From smallest to largest.
+    - Completely randomly.
+    - Alphabetically.
+    - None of the above.
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-convolutional-neural-networks-work.english.md b/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-convolutional-neural-networks-work.english.md
index 683937bdf4..87cabdf1b5 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-convolutional-neural-networks-work.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-convolutional-neural-networks-work.english.md
@@ -15,12 +15,13 @@ videoId: Y5M7KH4A4n4
 
 ```yml
 question:
-  text: Question
+  text: When are Convolutional Neural Networks not useful?
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - If your data can't be made to look like an image, or if you can rearrange elements of your data and it's still just as useful.
+    - If your data is made up of different 2D or 3D images.
+    - If your data is text or sound based.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-deep-neural-networks-work.english.md b/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-deep-neural-networks-work.english.md
index 8dc8fc125d..37c4068f2d 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-deep-neural-networks-work.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-deep-neural-networks-work.english.md
@@ -15,12 +15,13 @@ videoId: zvalnHWGtx4
 
 ```yml
 question:
-  text: Question
+  text: Why is it better to calculate the gradient (slope) directly rather than numerically?
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - It is computationally expensive to go back through the entire neural network and adjust the weights for each layer of the neural network.
+    - It is more accurate.
+    - There is no difference between the two methods.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/recurrent-neural-networks-rnn-and-long-short-term-memory-lstm.english.md b/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/recurrent-neural-networks-rnn-and-long-short-term-memory-lstm.english.md
index 8fb881ccbc..0676ffa2c8 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/recurrent-neural-networks-rnn-and-long-short-term-memory-lstm.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/recurrent-neural-networks-rnn-and-long-short-term-memory-lstm.english.md
@@ -15,11 +15,13 @@ videoId: UVimlsy9eW0
 
 ```yml
 question:
-  text: Question
+  text: |
+    What are the main neural network components that make up a Long Short Term Memory network?
+
   answers:
-    - one
-    - two
-    - three
+    - New information and prediction.
+    - Prediction, collected possibilities, and selection.
+    - Prediction, ignoring, forgetting, and selection.
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/conclusion.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/conclusion.english.md
index 3daf81052e..48effe2587 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/conclusion.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/conclusion.english.md
@@ -15,12 +15,13 @@ videoId: LMNub5frQi4
 
 ```yml
 question:
-  text: Question
+  text: |
+    Most people that are experts in AI or machine learning usually...:
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - have one specialization.
+    - have many specializations.
+    - have a deep understanding of many different frameworks.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-evaluating-the-model.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-evaluating-the-model.english.md
index 47468d3b52..33e45f268d 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-evaluating-the-model.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-evaluating-the-model.english.md
@@ -15,11 +15,11 @@ videoId: eCATNvwraXg
 
 ```yml
 question:
-  text: Question
+  text: What is **not** a good way to increase the accuracy of a convolutional neural network?
   answers:
-    - one
-    - two
-    - three
+    - Augmenting the data you already have.
+    - Using a pre-trained model.
+    - Using your test data to retrain the model.
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-picking-a-pretrained-model.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-picking-a-pretrained-model.english.md
index b6cd144ae1..58c7774390 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-picking-a-pretrained-model.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-picking-a-pretrained-model.english.md
@@ -15,12 +15,36 @@ videoId: h1XUt1AgIOI
 
 ```yml
 question:
-  text: Question
+  text: |
+    Fill in the blanks below to use Google's pre-trained MobileNet V2 model as a base for a convolutional neural network:
+
+    ```py
+    base_model = tf.__A__.applications.__B__(input_shape=(160, 160, 3),
+                                                   include_top=__C__,
+                                                   weights='imagenet'
+                                                   )
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      A: `keras`
+
+      B: `MobileNetV2`
+
+      C: `False`
+    - |
+      A: `Keras`
+
+      B: `MobileNetV2`
+
+      C: `True`
+    - |
+      A: `keras`
+
+      B: `mobile_net_v2`
+
+      C: `False`
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-the-convolutional-layer.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-the-convolutional-layer.english.md
index 78c6aaf69a..ef545de5c8 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-the-convolutional-layer.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-the-convolutional-layer.english.md
@@ -15,12 +15,12 @@ videoId: LrdmcQpTyLw
 
 ```yml
 question:
-  text: Question
+  text: What are the three main properties of each convolutional layer?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Input size, the number of filters, and the sample size of the filters.
+    - Input size, input dimensions, and the color values of the input.
+    - Input size, input padding, and stride.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks.english.md
index e6efd9f37e..f1f868ad97 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks.english.md
@@ -15,11 +15,12 @@ videoId: _1kTP7uoU9E
 
 ```yml
 question:
-  text: Question
+  text: |
+    Dense neural networks analyze input on a global scale and recognize patterns in specific areas. Convolutional neural networks...:
   answers:
-    - one
-    - two
-    - three
+    - also analyze input globally and extract features from specific areas.
+    - do not work well for image classification or object detection.
+    - scan through the entire input a little at a time and learn local patterns.
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-building-the-model.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-building-the-model.english.md
index 44065bf63e..561ced2446 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-building-the-model.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-building-the-model.english.md
@@ -15,12 +15,15 @@ videoId: 5wHw8BTd2ZQ
 
 ```yml
 question:
-  text: Question
+  text: What kind of estimator/model does TensorFlow recommend using for classification?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      `LinearClassifier`
+    - |
+      `DNNClassifier`
+    - |
+      `BoostedTreesClassifier`
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-classification.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-classification.english.md
index 90156de2be..bc9ea4c08b 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-classification.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-classification.english.md
@@ -15,12 +15,12 @@ videoId: qFF7ZQNvK9E
 
 ```yml
 question:
-  text: Question
+  text: What is classification?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - The process of separating data points into different classes.
+    - Predicting a numeric value or forecast based on independent and dependent variables.
+    - None of the above.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-clustering.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-clustering.english.md
index bc857ab2df..80bb5be6fd 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-clustering.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-clustering.english.md
@@ -15,12 +15,14 @@ videoId: 8sqIaHc9Cz4
 
 ```yml
 question:
-  text: Question
+  text: Which of the following steps is **not** part of the K-Means algorithm?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Randomly pick K points to place K centeroids.
+    - Assign each K point to the closest K centeroid.
+    - Move each K centeroid into the middle of all of their data points.
+    - Shuffle the K points so they're redistributed randomly.
+    - Reassign each K point to the closest K centeroid.
+  solution: 4
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-hidden-markov-models.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-hidden-markov-models.english.md
index 2a2ae7c1f1..5718c9ed9d 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-hidden-markov-models.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-hidden-markov-models.english.md
@@ -15,12 +15,12 @@ videoId: IZg24y4wEPY
 
 ```yml
 question:
-  text: Question
+  text: What makes a Hidden Markov model different than linear regression or classification?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - It uses probability distributions to predict future events or states.
+    - It analyzes the relationship between independent and dependent variables to make predictions.
+    - It separates data points into separate categories. 
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-the-training-process.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-the-training-process.english.md
index 0566857f31..e95cc11c9d 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-the-training-process.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-the-training-process.english.md
@@ -15,12 +15,12 @@ videoId: _cEwvqVoBhI
 
 ```yml
 question:
-  text: Question
+  text: What are epochs?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - The number of times the model will see the same data.
+    - A type of graph.
+    - The number of elements you feed to the model at once.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-training-and-testing-data.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-training-and-testing-data.english.md
index 731b01d926..1fbb38d6bb 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-training-and-testing-data.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-training-and-testing-data.english.md
@@ -15,12 +15,12 @@ videoId: wz9J1slsi7I
 
 ```yml
 question:
-  text: Question
+  text: What is categorical data?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Another term for one-hot encoding.
+    - Any data that is not numeric.
+    - Any data that is represented numerically.
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-using-probabilities-to-make-predictions.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-using-probabilities-to-make-predictions.english.md
index 61b72f37d6..7094d33681 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-using-probabilities-to-make-predictions.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-using-probabilities-to-make-predictions.english.md
@@ -15,11 +15,14 @@ videoId: fYAYvLUawnc
 
 ```yml
 question:
-  text: Question
+  text: What TensorFlow module should you import to implement `.HiddenMarkovModel()`?
   answers:
-    - one
-    - two
-    - three
+    - |
+      `tensorflow.keras`
+    - |
+      `tensorflow_gpu`
+    - |
+      `tensorflow_probability`
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-working-with-data.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-working-with-data.english.md
index 868476288b..7a7462bb68 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-working-with-data.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms-working-with-data.english.md
@@ -15,11 +15,12 @@ videoId: u85IOSsJsPI
 
 ```yml
 question:
-  text: Question
+  text: |
+    What does the pandas `.head()` function do?
   answers:
-    - one
-    - two
-    - three
+    - Returns the number of entries in a data frame.
+    - Returns the number of columns in a data frame.
+    - By default, shows the first five rows or entries in a data frame.
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms.english.md
index 86119f93db..ebd01e091e 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/core-learning-algorithms.english.md
@@ -15,12 +15,16 @@ videoId: u5lZURgcWnU
 
 ```yml
 question:
-  text: Question
+  text: |
+    Which type of analysis would be best suited for the following problem?: 
+    
+    You have the average temperature in the month of March for the last 100 years. Using this data, you want to predict the average temperature in the month of March 5 years from now.
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Multiple regression
+    - Correlation
+    - Decision tree
+    - Linear regression
+  solution: 4
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.english.md
index 218851c8f2..811c2c5945 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.english.md
@@ -15,11 +15,38 @@ videoId: kfv0K8MtkIc
 
 ```yml
 question:
-  text: Question
+  text: |
+    Fill in the blanks below to complete the architechture for a convolutional neural network:
+
+    ```py
+    model = models.__A__()
+    model.add(layers.__B__(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))
+    model.add(layers.__C__(2, 2))
+    model.add(layers.__B__(64, (3, 3), activation='relu'))
+    model.add(layers.__C__(2, 2))
+    model.add(layers.__B__(32, (3, 3), activation='relu'))
+    model.add(layers.__C__(2, 2))
+    ```
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      A: `Sequential`
+
+      B: `add`
+
+      C: `Wrapper`
+    - |
+      A: `keras`
+
+      B: `Cropping2D`
+
+      C: `AlphaDropout`
+    - |
+      A: `Sequential`
+
+      B: `Conv2D`
+
+      C: `MaxPooling2D`
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/introduction-machine-learning-fundamentals.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/introduction-machine-learning-fundamentals.english.md
index 4dcd1c991e..23e0a45b6b 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/introduction-machine-learning-fundamentals.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/introduction-machine-learning-fundamentals.english.md
@@ -15,12 +15,13 @@ videoId: KwL1qTR5MT8
 
 ```yml
 question:
-  text: Question
+  text: |
+    Which statement below is **false**?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Neural networks are modeled after the way the human brain works.
+    - Computer programs that play tic-tac-toe or chess against human players are examples of simple artificial intelligence.
+    - Machine learning is a subset of artificial intelligence.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/introduction-to-tensorflow.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/introduction-to-tensorflow.english.md
index 311c0f761d..eb217fb2bf 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/introduction-to-tensorflow.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/introduction-to-tensorflow.english.md
@@ -15,12 +15,14 @@ videoId: r9hRyGGjOgQ
 
 ```yml
 question:
-  text: Question
+  text: Which of the following is **not** a type of tensor?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Variable
+    - Flowing
+    - Placeholder
+    - SparseTensor
+    - Constant
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-building-the-model.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-building-the-model.english.md
index b7bfec9b43..49f9d25cda 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-building-the-model.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-building-the-model.english.md
@@ -15,11 +15,48 @@ videoId: 32WBFS7lfsw
 
 ```yml
 question:
-  text: Question
+  text: |
+    Fill in the blanks below to complete the `build_model` function:
+
+    ```py
+    def build_mode(vocab_size, embedding_dim, rnn_units, batch_size):
+        model = tf.keras.Sequential([
+            tf.keras.layers.Embedding(vocab_size,
+                                      embedding_dim, 
+                                      batch_input_shape=[batch_size, None]),
+            tf.keras.layers.__A__(rnn_units,
+                                  return_sequences=__B__,
+                                  recurrent_initializer='glorot_uniform),
+            tf.keras.layers.Dense(__C__)
+        ])
+        __D__
+    ```
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      A: `ELU`
+
+      B: `True`
+
+      C: `vocab_size`
+
+      D: `return model`
+    - |
+      A: `LSTM`
+
+      B: `False`
+
+      C: `batch_size`
+
+      D: `return model`
+    - |
+      A: `LSTM`
+
+      B: `True`
+
+      C: `vocab_size`
+
+      D: `return model`
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-create-a-play-generator.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-create-a-play-generator.english.md
index 869db6d215..72a967df84 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-create-a-play-generator.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-create-a-play-generator.english.md
@@ -15,12 +15,28 @@ videoId: j5xsxjq_Xk8
 
 ```yml
 question:
-  text: Question
+  text: |
+
+    Fill in the blanks below to create the training examples for the RNN:
+
+    ```py
+    char_dataset = tf.data.__A__.__B__(text_as_int)
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      A: `DataSet`
+
+      B: `from_tensor_slices`
+    - |
+      A: `data`
+
+      B: `from_tensors`
+    - |
+      A: `DataSet`
+
+      B: `from_generator`
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-making-predictions.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-making-predictions.english.md
index 7d6cb89e0e..47ac3bdcd1 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-making-predictions.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-making-predictions.english.md
@@ -15,12 +15,13 @@ videoId: WO1hINnBj20
 
 ```yml
 question:
-  text: Question
+  text: |
+    Before you make a prediction with your own review, you should...:
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - decode the training dataset and compare the results to the test data.
+    - use the encodings from the training dataset to encode your review.
+    - assign random values between 0 and the maximum number of vocabulary in your dataset to each word in your review.
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-part-2.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-part-2.english.md
index c373c01539..9da6acc2ff 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-part-2.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-part-2.english.md
@@ -15,11 +15,12 @@ videoId: mUU9YXOFbZg
 
 ```yml
 question:
-  text: Question
+  text: |
+    Word embeddings are...:
   answers:
-    - one
-    - two
-    - three
+    - an unordered group of encoded words that describes the frequency of words in a given document.
+    - a group of encoded words that preserves the original order of the words in a given document.
+    - a vectorized representation of words in a given document that places words with similar meanings near each other.
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-recurring-neural-networks.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-recurring-neural-networks.english.md
index b68f516718..03da6300b9 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-recurring-neural-networks.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-recurring-neural-networks.english.md
@@ -15,12 +15,17 @@ videoId: bX5681NPOcA
 
 ```yml
 question:
-  text: Question
+  text: What is true about Recurrent Neural Networks?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      1: They are a type of feed-forward neural network.
+    - |
+      2: They maintain an internal memory/state of the input that was already processed.
+    - |
+      3: RNN's contain a loop and process one piece of input at a time.
+    - |
+      4: Both 2 and 3.
+  solution: 4
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.english.md
index 99c9128df0..5ea6490d0c 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.english.md
@@ -15,11 +15,36 @@ videoId: lYeLtu8Nq7c
 
 ```yml
 question:
-  text: Question
+  text: |
+    Fill in the blanks below to create the model for the RNN:
+
+    ```py
+    model = __A__.keras.Sequential([
+        __A__.keras.layers.__B__(88584, 32),
+        __A__.keras.layers.__C__(32),
+        __A__.keras.layers.DENSE(1, activation='sigmoid')
+    ])
+    ```
+
   answers:
-    - one
-    - two
-    - three
+    - |
+      A: `tensor_flow`
+
+      B: `embedding`
+
+      C: `LSTM`
+    - |
+      A: `tf`
+
+      B: `Embedding`
+
+      C: `AlphaDropout`
+    - |
+      A: `tf`
+
+      B: `Embedding`
+
+      C: `LSTM`
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-training-the-model.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-training-the-model.english.md
index ad35ea8d8d..ddf08af829 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-training-the-model.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-training-the-model.english.md
@@ -15,12 +15,41 @@ videoId: hEUiK7j9UI8
 
 ```yml
 question:
-  text: Question
+  text: |
+    Fill in the blanks below to save your model's checkpoints in the `./checkpoints` directory and call the latest checkpoint for training:
+
+    ```py
+    checkpoint_dir = __A__
+    checkpoint_prefix = os.path.join(checkpoint_dir, 'ckpt_{epoch}')
+
+    checkpoint_callback = tf.keras.callbacks.__B__(
+        filepath=checkpoint_prefix,
+        save_weights_only=True
+    )
+
+    history = model.fit(data, epochs=2, callbacks=[__C__])
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      A: `'./training_checkpoints'`
+
+      B: `ModelCheckpoint`
+
+      C: `checkpoint_prefix`
+    - |
+      A: `'./checkpoints'`
+
+      B: `ModelCheckpoint`
+
+      C: `checkpoint_callback`
+    - |
+      A: `'./checkpoints'`
+
+      B: `BaseLogger`
+
+      C: `checkpoint_callback`
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns.english.md
index e44b05c8fb..0239da2822 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns.english.md
@@ -15,12 +15,13 @@ videoId: ZyCaF5S-lKg
 
 ```yml
 question:
-  text: Question
+  text: |
+    Natural Language Processing is a branch of artifitial intelligence that...:
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - deals with how computers understand and process natural/human languages.
+    - translates image data into natural/human languages.
+    - is focused on translating computer languages into natural/human languages.
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-activation-functions.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-activation-functions.english.md
index 20756fe9b8..9639147a8c 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-activation-functions.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-activation-functions.english.md
@@ -15,12 +15,12 @@ videoId: S45tqW6BqRs
 
 ```yml
 question:
-  text: Question
+  text: Which activation function switches values between -1 and 1?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Relu (Rectified Linear Unit)
+    - Tanh (Hyperbolic Tangent)
+    - Sigmoid
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-creating-a-model.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-creating-a-model.english.md
index cc3aaf5df8..85223466d6 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-creating-a-model.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-creating-a-model.english.md
@@ -15,12 +15,37 @@ videoId: K8bz1bmOCTw
 
 ```yml
 question:
-  text: Question
+  text: |
+    Fill in the blanks below to build a sequential model of dense layers:
+
+    ```py
+    model = __A__.__B__([
+        __A__.layers.Flatten(input_shape=(28, 28)),
+        __A__.layers.__C__(128, activation='relu'),
+        __A__.layers.__C__(10, activation='softmax')
+    ])
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      A: `keras`
+      
+      B: `Sequential`
+      
+      C: `Dense`
+    - |
+      A: `tf`
+      
+      B: `Sequential`
+      
+      C: `Categorical`
+    - |
+      A: `keras`
+      
+      B: `sequential`
+      
+      C: `dense`
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-optimizers.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-optimizers.english.md
index bc8bb0d82d..e50360cf2e 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-optimizers.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-optimizers.english.md
@@ -15,12 +15,12 @@ videoId: hdOtRPQe1o4
 
 ```yml
 question:
-  text: Question
+  text: What is an optimizer function?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - A function that increases the accuracy of a model's predictions.
+    - A function that implements the gradient descent and backpropogation algorithms for you.
+    - A function that reduces the time a model needs to train.
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-with-tensorflow.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-with-tensorflow.english.md
index 75fbfb57b9..a865427f80 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-with-tensorflow.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-with-tensorflow.english.md
@@ -15,11 +15,12 @@ videoId: uisdfrNrZW4
 
 ```yml
 question:
-  text: Question
+  text: |
+    A densely connected neural network is one in which...:
   answers:
-    - one
-    - two
-    - three
+    - all the neurons in the current layer are connected to one neuron in the previous layer.
+    - all the neurons in each layer are connected randomly.
+    - all the neurons in the current layer are connected to every neuron in the previous layer.
   solution: 3
 ```
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-example.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-example.english.md
index 7c8676de37..3208bee952 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-example.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-example.english.md
@@ -15,12 +15,33 @@ videoId: RBBSNta234s
 
 ```yml
 question:
-  text: Question
+  text: |
+    Fill in the blanks to complete the following Q-Learning equation:
+
+    ```py
+    Q[__A__, __B__] = Q[__A__, __B__] + LEARNING_RATE * (reward + GAMMA * np.max(Q[__C__, :]) - Q[__A__, __B__])
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      A: `state`
+
+      B: `action`
+
+      C: `next_state`
+    - |
+      A: `state`
+
+      B: `action`
+
+      C: `prev_state`
+    - |
+      A: `state`
+
+      B: `reaction`
+
+      C: `next_state`
+  solution: 1
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-part-2.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-part-2.english.md
index 853df699a8..c31f36d134 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-part-2.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-part-2.english.md
@@ -15,12 +15,11 @@ videoId: DX7hJuaUZ7o
 
 ```yml
 question:
-  text: Question
+  text: What can happen if the agent does not have a good balance of taking random actions and using learned actions?
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - The agent will always try to minimize its reward for the current state/action, leading to local minima.
+    - The agent will always try to maximize its reward for the current state/action, leading to local maxima.
+  solution: 2
 ```
 
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning.english.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning.english.md
index ba75961f81..5b4bac3d2b 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning.english.md
@@ -15,12 +15,12 @@ videoId: Cf7DSU0gVb4
 
 ```yml
 question:
-  text: Question
+  text: The key components of reinforcement learning are...
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - environment, representative, state, reaction, and reward.
+    - environment, agent, state, action, and reward.
+    - habitat, agent, state, action, and punishment.
+  solution: 2
 ```