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Amazon Web Services DOP-C02 Exam With Confidence Using Practice Dumps

Exam Code:
DOP-C02
Exam Name:
AWS Certified DevOps Engineer - Professional
Questions:
425
Last Updated:
Apr 6, 2026
Exam Status:
Stable
Amazon Web Services DOP-C02

DOP-C02: AWS Certified Professional Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

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

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Question 2

A security team is concerned that a developer can unintentionally attach an Elastic IP address to an Amazon EC2 instance in production. No developer should be allowed to attach an Elastic IP address to an instance. The security team must be notified if any production server has an Elastic IP address at any time

How can this task be automated ' ?

Options:

A.

Use Amazon Athena to query AWS CloudTrail logs to check for any associate-address attempts Create an AWS Lambda function to disassociate the Elastic IP address from the instance, and alert the security team.

B.

Attach an 1AM policy to the developers ' 1AM group to deny associate-address permissions Create a custom AWS Config rule to check whether an Elastic IP address is associated with any instance tagged as production, and alert the security team

C.

Ensure that all 1AM groups associated with developers do not have associate-address permissions. Create a scheduled AWS Lambda function to check whether an Elastic IP address is associated with any instance tagged as production, and alert the secunty team if an instance has an Elastic IP address associated with it

D.

Create an AWS Config rule to check that all production instances have EC2 1AM roles that include deny associate-address permissions Verify whether there is an Elastic IP address associated with any instance, and alert the security team if an instance has an Elastic IP address associated with it.

Question 3

A company has multiple AWS accounts. The company uses AWS IAM Identity Center that is integrated with a third-party SAML 2.0 identity provider (IdP) .

The attributes for access control feature is enabled in IAM Identity Center. The attribute mapping list maps the department key from the IdP to the ${path:enterprise.department} attribute. All existing Amazon EC2 instances have a d1 , d2 , or d3 department tag that corresponds to three of the company’s departments.

A DevOps engineer must create policies based on the matching attributes. The policies must grant each user access to only the EC2 instances that are tagged with the user’s respective department name.

Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?

Options:

A.

" Condition " : {

" ForAllValues:StringEquals " : {

" aws:TagKeys " : [ " department " ]

}

}

B.

" Condition " : {

" StringEquals " : {

" aws:PrincipalTag/department " : " ${aws:ResourceTag/department} "

}

}

C.

" Condition " : {

" StringEquals " : {

" ec2:ResourceTag/department " : " ${aws:PrincipalTag/department} "

}

}

D.

" Condition " : {

" ForAllValues:StringEquals " : {

" ec2:ResourceTag/department " : [ " d1 " , " d2 " , " d3 " ]

}

}