Add a couple of questions and a new exercise

exercises/misc/elk_kibana_aws.md

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+# Elasticsearch, Kibana and AWS
+
+Your task is to build an elasticsearch cluster along with Kibana dashboard on one of the following clouds:
+
+* AWS
+* OpenStack
+* Azure
+* GCP
+
+You have to describe in details (preferably with some drawings) how you are going to set it up.
+Please describe in detail:
+
+- How you scale it up or down
+- How you quickly (less 20 minutes) provision the cluster
+- How you apply security policy for access control
+- How you transfer the logs from the app to ELK
+- How you deal with multi apps running in different regions
+
+# Solution
+
+This one out of many possible solutions. This solution is relying heavily on AWS.
+
+* Create a VPC with subnet so we can place Elasticsearch node(s) in internal environment only.
+  If required, we will also setup NAT for public access. 
+
+* Create an IAM role for the access to the cluster. Also, create a separate role for admin access.
+
+* To provision the solution quickly, we will use the elasticsearch service directly from AWS for production deployment.
+  This way we also cover multiple AZs. As for authentication, we either use Amazon cognito or the organization LDAP server.
+
+* To transfer data, we will have to install logstash agent on the instances. The agent will be responsible
+  for pushing the data to elasticsearch.
+
+* For monitoring we will use:
+
+    * Cloud watch to monitor cluster resource utilization
+    * Cloud metrics dashboard
+
+* If access required from multiple regions we will transfer all the data to S3 which will allow us to view the data
+  from different regions and consolidate it in one dashboard