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AWS-DevOps-Engineer-Professional-DOP-C01 – AWS DevOps Engineer Professional (DOP-C01)

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Showing 4–6 of 20 questions

Question 4

A DevOps Engineer is asked to implement a strategy for deploying updates to a web application with zero downtime. The application infrastructure is defined in AWS CloudFormation and is made up of an Amazon Route 53 record, an Application Load Balancer, Amazon EC2 instances in an EC2 Auto Scaling group, and Amazon DynamoDB tables. To avoid downtime, there must be an active instance serving the application at all times.

Which strategies will ensure the deployment happens with zero downtime? (Choose two.)

Select all that apply, then click Submit answer.

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    In the CloudFormation template, modify the AWS::AutoScaling::AutoscalingGroup resource and add an UpdatePolicy attribute to define the required elements for a deployment with zero downtime.
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    In the CloudFormation template, modify the AWS:: AutoScaling::DeploymentUpdates resource and add an UpdatePolicy attribute to define the required elements for a deployment with zero downtime.
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    Add a new Application Load Balancer and Auto Scaling group to the CloudFormation template. Deploy new changes to the inactive Auto Scaling group. Use Route 53 to change the active Application Load Balancer.
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    Add a new Application Load Balancer and Auto Scaling group to the CloudFormation template. Modify the AWS::AutoScaling::AutoScalingGroup resource and add an UpdatePolicy attribute to perform rolling updates.
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    In the CloudFormation template, modify the UpdatePolicy attribute for the CloudFormation stack and specify the Auto Scaling group that will be updated. Configure MinSuccessfulInstancesPercent and PauseTime to ensure the deployment happens with zero downtime.
Question 5

A DevOps engineer is tasked with creating a more stable deployment solution for a web application in AWS. Previous deployments have resulted in user-facing bugs, premature user traffic, and inconsistencies between web servers running behind an Application Load Balancer. The current strategy uses AWS CodeCommit to store the code for the application. When developers push to the master branch of the repository, CodeCommit triggers an AWS Lambda deploy function, which invokes an AWS Systems Manager run command to build and deploy the new code to all Amazon EC2 instances.

Which combination of actions should be taken to implement a more stable deployment solution? (Choose two.)

Select all that apply, then click Submit answer.

  • ○

    Create a pipeline in AWS CodePipeline with CodeCommit as a source provider. Create parallel pipeline stages to build and test the application. Pass the build artifact to AWS CodeDeploy.
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    Create a pipeline in AWS CodePipeline with CodeCommit as a source provider. Create separate pipeline stages to build and then test the application. Pass the build artifact to AWS CodeDeploy.
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    Create and use an AWS CodeDeploy application and deployment group to deploy code updates to the EC2 fleet. Select the Application Load Balancer for the deployment group.
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    Create individual Lambda functions to run all build, test, and deploy actions using AWS CodeDeploy instead of AWS Systems Manager.
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    Modify the Lambda function to build a single application package to be shared by all instances. Use AWS CodeDeploy instead of AWS Systems Manager to update the code on the EC2 fleet.
Question 6

A company manages an application that stores logs in Amazon CloudWatch Logs. The company wants to archive the logs in Amazon S3. Logs are rarely accessed after 90 days and must be retained for 10 years.

Which combination of steps should a DevOps engineer take to meet these requirements? (Choose two.)

Select all that apply, then click Submit answer.

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    Configure a CloudWatch Logs subscription filter to use AWS Glue to transfer all logs to an S3 bucket.
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    Configure a CloudWatch Logs subscription filter to use Amazon Kinesis Data Firehose to stream all logs to an S3 bucket.
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    Configure a CloudWatch Logs subscription filter to stream all logs to an S3 bucket.
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    Configure the S3 bucket lifecycle policy to transition logs to S3 Glacier after 90 days and to expire logs after 3.650 days.
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    Configure the S3 bucket lifecycle policy to transition logs to Reduced Redundancy after 90 days and to expire logs after 3.650 days.