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NEW QUESTION 48
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. Re-deploy your application using a CloudFormation template to deploy Elastic Beanstalk
• D. After each stack is deployed, tear down the old stack

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 49
  A defect was discovered in production and a new sprint item has been created for deploying a hotfix.
  However, any code change must go through the following steps before going into production:

• Scan the code for security breaches, such as password and access key leaks.

• Run the code through extensive, long running unit tests.
  Which source control strategy should a DevOps Engineer use in combination with AWS CodePipeline to complete this process?

• A. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch.
  Use AWS CodeBuild to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.

• B. Create a hotfix tag on the last commit of the master branch. Trigger the development pipeline from the hotfix tag. Use AWS CodeDeploy with Amazon ECS to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix tag into the master branch.

• C. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch.
  Use AWS Lambda to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.

• D. Create a hotfix branch from the master branch. Create a separate source stage for the hotfix branch in the production pipeline. Trigger the pipeline from the hotfix branch. Use AWS Lambda to do a content scan and use AWS CodeBuild to run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.

Answer: B
 
NEW QUESTION 50
A web application has been deployed using an AWS Elastic Beanstalk application The Application Developers are concerned that they are seeing high latency in two different areas of the application: HTTP client requests to a third-party API MySQL client library queries to an Amazon RDS database A DevOps Engineer must gather trace data to diagnose the issues. Which steps will gather the trace information with the LEAST amount of changes and performance impacts to the application?

• A. On the AWS Elastic Beanstalk management page for the application, enable the AWS X-Ray daemon. View the trace data in the X-Ray console.
• B. Instrument the application using the AWS X-Ray SDK. On the AWS Elastic Beanstalk management page for the application, enable the X-Ray daemon. View the trace data in the X-Ray console.
• C. Add additional logging to the application code. Use the Amazon CloudWatch agent to stream the application logs into Amazon Elasticsearch Service. Query the log data in Amazon ES.
• D. Instrument the application to use the AWS X-Ray SDK. Post trace data to an Amazon Elasticsearch Service cluster. Query the trace data for calls to the HTTP client and the MySQL client.

Answer: A
 
NEW QUESTION 51
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