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NEW QUESTION 52
You are a DevOps engineer for a company. You have been requested to create a rolling deployment solution that is cost-effective with minimal downtime. How should you achieve this? Choose two answers from the options below

• A. Re-deploy with a CloudFormation template, define update policies on Auto Scalinggroups in your CloudFormation template
• B. Use UpdatePolicy attribute to specify how CloudFormation handles updates to Auto Scaling Group resource.
• C. After each stack is deployed, tear down the old stack
• D. Re-deploy your application using a CloudFormation template to deploy Elastic Beanstalk

Answer: A,B

Explanation:
Explanation
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePolicy attribute. This is used to define how an Auto Scalinggroup resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scalinggroup and replaces old instances with new ones, according to the parameters specified.
Option A is invalid because it is not efficient to use Cloudformation to use Clastic Beanstalk.
Option D is invalid because this is an inefficient process to tear down stacks when there are stack policies available For more information on Autoscaling Rolling Updates please refer to the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

NEW QUESTION 53
A Development team is adding a new country to an e-commerce application. This addition requires that new application features be added to the shipping component of the application. The team has not decided if all new features should be added, as some will take approximately six weeks to build. While the final decision on the shipping component features is being made, other team members are continuing to work on other features of the application.
Based on this situation, how should the application feature deployments be managed?

• A. Add the code updates as a single commit when a feature is ready. Tag this commit with "new-country."
• B. Add the code updates as commits to the release branch. The team can delay the deployment until all features are ready.
• C. Create a new repository named "new-country". Commit all the code changes to the new repository.
• D. Add the code updates as commits to a feature branch. Merge the commits to a release branch as features are ready.

Answer: B

NEW QUESTION 54
Your company uses an application hosted in AWS which conists of EC2 Instances. The logs of the EC2
instances need to be processed and analyzed in real time, since this is a requirement from the IT Security
department. Which of the following can be used to process the logs in real time.

• A. Useanother EC2 Instance with a larger instance type to process the logs
• B. UseAmazon S3 to store the logs and then use Amazon Kinesis to process and analyzethe logs in real
  time
• C. UseCloudwatch logs to process and analyze the logs in real time
• D. UseAmazon Glacier to store the logs and then use Amazon Kinesis to process andanalyze the logs in
  real time

Answer: B

Explanation:
Explanation
The AWS Documentation mentions the below
Real-time metrics and reporting
You can use data collected into Kinesis Streams for simple data analysis and reporting in real time. For
example, your data-processing application can work on metrics and reporting for system and application logs
as the data is streaming in, rather than wait to receive batches of data.
Real-time data analytics
This combines the power of parallel processing with the value of real-time data. For example, process website
clickstreams in real time, and then analyze site usability engagement using multiple different Kinesis Streams
applications running in parallel.
Amazon Glacier is meant for Archival purposes and should not be used for storing the logs for real time
processing.
For more information on Amazon Kinesis, please refer to the below link:
* http://docs.aws.amazon.com/streams/latest/dev/introduction.html

NEW QUESTION 55
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