1. There is a very serious outage at AWS. EC2 is not affected, but your EC2 instance deployment scripts stopped working In the region with the outage. What might be the Issue?

A) The AWS(Amazon Web Service) Console is down, so your CLI commands do not work.
B) None of the other answers make sense. If EC2 is not affected, it must be some other issue.
C) AWS turns off the Deploy Code API call when there are major outages, to protect from system floods.
D) 53 Is unavailable, so you can?t create EBS volumes from a snapshot you use to deploy new volumes.



2. You meet once per month with your operations team to review the past month?s data. During the meeting, you realize that 3 weeks ago, your monitoring system which pings over HTTP from outside AWS(Amazon Web Service) recorded a large spike in latency on your 3-tier web service API. You use Dynamo DB for the database layer, ELB, EBS, and EC2 for the business logic tier, and SQS, ELB, and EC2 for the presentation layer. Which of the following techniques will NOT help you figure out what happened? Please select:

A) Review Cloud Watch Metrics for one minute interval graphs to determine which component(s) slowed the system down.
B) Check your Cloud Trail log history around the spike?s time for any API calls that caused slowness.
C) Analyze your logs to detect bursts in traffic at that time.
D) Review your ELB access logs in S3 to see if any ELB5 in your system saw the latency.



3. You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is going on in the complex, service-oriented architecture, because the developers just log to disk, and it?s very hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your CTO?

A) Copy all log files into AWS(Amazon Web Service) S3 using a cron job on each instance. Use an 53 Notification Configuration on the Put Bucket event and publish events to AWS(Amazon Web Service) Kinesis. Use Apache Spark on AWS(Amazon Web Service) EMR to perform at-scale stream processing queries on the log chunks and flag issues.
B) Begin using Cloud Watch Logs on every service. Stream all Log Groups into an AWS(Amazon Web Service) Elasticsearch Service Domain running Kibana 4 and perform log analysis on a search cluster.
C) Copy all log files into AWS(Amazon Web Service) S3 using a cron job on each instance. Use an S3 Notification Configuration on Put Bucket event and publish events to AWS(Amazon Web Service) Lambda. Use the Lambda to analyze logs as soon as they come in(and flag issues.
D) Begin using Cloud Watch Logs on every service. Stream all Log Groups into S3 objects. Use AWS(Amazon Web Service) EMR cluster jobs to perform adhoc Map Reduce analysis and write new queries when needed.



4. For AWS(Amazon Web Service) Auto Scaling, what is the first transition state an existing instance enters after leaving Standby state?

A) Entering Standby
B) Detaching
C) Terminating: Wait
D) Pending



5. You need to create an audit log of all changes to customer banking data. You use DynamoDB to store this customer banking data. It?s important not to lose any Information due to server failures. What is an elegant way to accomplish this?

A) Before writing to Dynamo DB, do a pre-write acknowledgment to disk on the application server, removing sensitive information before logging. Periodically rotate these log files into 53.
B) Use a Dynamo DB Stream Specification and to AWS(Amazon Web Service) Lambda. Log the changes to AWS(Amazon Web Service) Cloud Watch Logs. removing sensitive Information before logging.
C) Use a Dynamo DB Stream Specification and periodically flush to an EC2 instance store, removing sensitive information before putting the objects. Periodically flush these batches to 53.
D) Before writing to Dynamo DB. do a pre-write acknowledgment to disk on the application server, removing sensitive information before logging. Periodically pipe these files into Cloud Watch Logs.