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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company uses AWS CloudFormation stacks to deploy updates to its application. The stacks consist of different resources. The resources include AWS Auto Scaling groups, Amazon EC2 instances, Application Load Balancers (ALBs), and other resources that are necessary to launch and maintain independent stacks. Changes to application resources outside of CloudFormation stack updates are not allowed.

The company recently attempted to update the application stack by using the AWS CLI. The stack failed to update and produced the following error message: " ERROR: both the deployment and the CloudFormation stack rollback failed. The deployment failed because the following resource(s) failed to update: [AutoScalingGroup]. "

The stack remains in a status of UPDATE_ROLLBACK_FAILED. *

Which solution will resolve this issue?

Options:

Update the subnet mappings that are configured for the ALBs. Run the aws cloudformation update-stack-set AWS CLI command.

Update the 1AM role by providing the necessary permissions to update the stack. Run the aws cloudformation continue-update-rollback AWS CLI command.

Submit a request for a quota increase for the number of EC2 instances for the account. Run the aws cloudformation cancel-update-stack AWS CLI command.

Delete the Auto Scaling group resource. Run the aws cloudformation rollback-stack AWS CLI command.

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Question 2

A company has microservices running in AWS Lambda that read data from Amazon DynamoDB. The Lambda code is manually deployed by developers after successful testing The company now needs the tests and deployments be automated and run in the cloud Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment.

What solution meets all the requirements, ensuring the MOST developer velocity?

Options:

Create an AWS CodePipelme configuration and set up a post-commit hook to trigger the pipeline after tests have passed Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval

Create an AWS CodeBuild configuration that triggers when the test code is pushed Use AWS CloudFormation to trigger an AWS CodePipelme configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval

Create an AWS CodePipelme configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinearlDPercentEvery3Minut.es Option.

Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version. Use an interval in the Lambda function to deploy the code over time at the required percentage

Question 3

A company runs an application in an Amazon Elastic Container Service (Amazon ECS) service that is associated with an Elastic Load Balancing (ELB) target group. A DevOps engineer updates the service to include a new task definition version. The DevOps engineer notices that the deployment does not finish running. New tasks enter a stopped state soon after the tasks launch. The task definition references an Amazon CloudWatch Logs log group.

Which issues are most likely the cause of the failing deployment? (Select TWO.)

Options:

The target group health check is failing, which causes Amazon ECS to stop the tasks.

The IAM role that the DevOps engineer used to update the ECS service does not have the Amazon ECS RunTask permission.

The CloudWatch Logs log group that is referenced in the task definition does not exist.

The task role does not have the required permissions to launch the task.

An essential container in the ECS task is exiting.

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