QUESTION: 57

A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks. Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a signi cant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and noti cations should be enabled to alert when there is an issue.
Which combination of actions will meet these requirements? (Choose two.)

Change the Auto Scaling con guration to replace the instances when they fail the load balancer's health checks.
Change the target group health check HealthCheckIntervalSeconds parameter to reduce the interval between health checks.
Change the target group health checks from HTTP to TCP to check if the port where the application is listening is reachable.
Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group. Create an alarm when the memory utilization is high. Associate an Amazon SNS topic to the alarm to receive noti cations when the alarm goes off.
Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group. Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a noti cation.

Answer(s): A,E

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QUESTION: 58

A company wants to migrate a legacy application to AWS and develop a deployment pipeline that uses AWS services only. A DevOps engineer is migrating all of the application code from a Git repository to AWS CodeCommit while preserving the history of the repository. The DevOps engineer has set all the permissions within CodeCommit, installed the Git client and the AWS CLI on a local computer, and is ready to migrate the repository.
Which actions will follow?

Create the CodeCommit repository using the AWS CLI. Clone the Git repository directly to CodeCommit using the AWS CLI. Validate that the les were migrated, and publish the CodeCommit repository.
Create the CodeCommit repository using the AWS Management Console. Clone both the Git and CodeCommit repositories to the local computer. Copy the les from the Git repository to the CodeCommit repository on the local computer. Commit the CodeCommit repository.
Validate that the les were migrated, and share the CodeCommit repository.
Create the CodeCommit repository using the AWS Management Console. Use the console to clone the Git repository into the CodeCommit repository. Validate that the les were migrated, and publish the CodeCommit repository.
Create the CodeCommit repository using the AWS Management Console or the AWS CLI. Clone the Git repository with a mirror argument to the local computer and push the repository to CodeCommit. Validate that the les were migrated, and share the CodeCommit repository.

Answer(s): D

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QUESTION: 59

A company is using AWS to deploy an application. The development team must automate the deployments. The team has created an AWS CodePipeline pipeline to deploy the application to Amazon EC2 instances using AWS CodeDeploy after it has been built using AWS CodeBuild. The team wants to add automated testing to the pipeline to con rm that the application is healthy before deploying the code to the EC2 instances. The team also requires a manual approval action before the application is deployed, even if the tests are successful. The testing and approval must be accomplished at the lowest costs, using the simplest management solution.
Which solution will meet these requirements?

Create a manual approval action after the build action of the pipeline. Use Amazon SNS to inform the team of the stage being triggered.
Next, add a test action using CodeBuild to perform the required tests. At the end of the pipeline, add a deploy action to deploy the application to the next stage.
Create a test action after the CodeBuild build of the pipeline. Con gure the action to use CodeBuild to perform the required tests. If these tests are successful, mark the action as successful. Add a manual approval action that uses Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.
Create a new pipeline that uses a source action that gets the code from the same repository as the rst pipeline. Add a deploy action to deploy the code to a test environment. Use a test action using AWS Lambda to test the deployment. Add a manual approval action by using Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.
Create a test action after the build action. Use a Jenkins server on Amazon EC2 to perform the required tests and mark the action as successful if the tests pass. Create a manual approval action that uses Amazon SQS to notify the team and add a deploy action to deploy the application to the next stage.

Answer(s): B

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QUESTION: 60

A DevOps engineer wants to deploy a serverless web application that is based on AWS Lambda. The deployment must meet the following requirements:
Provide staging and production environments.
Restrict developers from accessing the production environment.
Avoid hardcoding passwords in the Lambda functions.
Store source code in AWS CodeCommit.
Use AWS CodePipeline to automate the deployment.
What is the MOST operationally e cient solution that meets these requirements?

Create separate staging and production accounts to segregate deployment targets. Use AWS Key Management Service (AWS KMS) to store environment- speci c values. Use CodePipeline to automate deployments with AWS CodeDeploy.
Create separate staging and production accounts to segregate deployment targets. Use Lambda environment variables to store environment-speci c values. Use CodePipeline to automate deployments with AWS CodeDeploy.
De ne tagging conventions for staging and production environments to segregate deployment targets. Use AWS Key Management Service (AWS KMS) to store environment-speci c values. Use CodePipeline to automate deployments with AWS CodeDeploy.
De ne tagging conventions for staging and production environments to segregate deployment targets. Use Lambda environment variables to store environment-speci c values. Use CodePipeline to automate deployments with AWS CodeDeploy.

Answer(s): B

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