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DOP-C02 Exam Dumps : AWS Certified DevOps Engineer - Professional

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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company has an AWS account named PipelineAccount. The account manages a pipeline in AWS CodePipeline. The account uses an IAM role named CodePipeline_Service_Role and produces an artifact that is stored in an Amazon S3 bucket. The company uses a customer managed AWS KMS key to encrypt objects in the S3 bucket.

A DevOps engineer wants to configure the pipeline to use an AWS CodeDeploy application in an AWS account named CodeDeployAccount to deploy the produced artifact.

The DevOps engineer updates the KMS key policy to grant the CodeDeployAccount account permission to use the key. The DevOps engineer configures an IAM role named DevOps_Role in the CodeDeployAccount account that has access to the CodeDeploy resources that the pipeline requires. The DevOps engineer updates an Amazon EC2 instance role that operates within the CodeDeployAccount account to allow access to the S3 bucket and the KMS key that is in the PipelineAccount account.

Which additional steps will meet these requirements?

Options:

A.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

B.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the DevOps_Role IAM role to grant permission to assume CodePipeline_Service_Role role.

C.

Update the S3 bucket policy to grant the PipelineAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM to grant permission to assume the DevOps_Role role.

D.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the CodeDeployAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

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Question 2

A company is using AWS Organizations and wants to implement a governance strategy with the following requirements:

    AWS resource access is restricted to the same two Regions for all accounts.

    AWS services are limited to a specific group of authorized services for all accounts.

    Authentication is provided by Active Directory .

    Access permissions are organized by job function and are identical in each account.

Which solution will meet these requirements?

Options:

A.

Establish an organizational unit (OU) with group policies in the management account to restrict Regions and authorized services. Use AWS CloudFormation StackSets to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

B.

Establish a permission boundary in the management account to restrict Regions and authorized services. Use AWS CloudFormation StackSets to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

C.

Establish a service control policy in the management account to restrict Regions and authorized services. Use AWS Resource Access Manager (AWS RAM) to share management account roles with permissions for each job function, including AWS IAM Identity Center for authentication in each account.

D.

Establish a service control policy (SCP) in the management account to restrict Regions and authorized services. Use AWS CloudFormation StackSets to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

Question 3

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:

A.

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

B.

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

C.

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.

D.

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