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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
Certification:
AWS Certified Professional
Vendor:
Amazon Web Services
Questions:
449
Last Updated:
Oct 4, 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

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Question 1

A company used a lift-and-shift strategy to migrate a workload to AWS. The company has an Auto Scaling group of Amazon EC2 instances. Each EC2 instance runs a web application, a database, and a Redis cache.

Users are experiencing large variations in the web application ' s response times. Requests to the web application go to a single EC2 instance that is under significant load. The company wants to separate the application components to improve availability and performance.

Which solution will meet these requirements?

Options:

A.

Create a Network Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora Serverless database. Create an Application Load Balancer and an Auto Scaling group for the Redis cache.

B.

Create an Application Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora database that has a Multi-AZ deployment. Create a Network Load Balancer and an Auto Scaling group in a single Availability Zone for the Redis cache.

C.

Create a Network Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora Serverless database. Create an Amazon ElastiCache (Redis OSS) cluster for the cache. Create a target group that has a DNS target type that contains the ElastiCache (Redis OSS) cluster hostname.

D.

Create an Application Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora database that has a Multi-AZ deployment. Create an Amazon ElastiCache (Redis OSS) cluster for the cache.

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Question 2

A development team is using AWS CodeCommit to version control application code and AWS CodePipeline to orchestrate software deployments. The team has decided to use a remote main branch as the trigger for the pipeline to integrate code changes. A developer has pushed code changes to the CodeCommit repository, but noticed that the pipeline had no reaction, even after 10 minutes.

Which of the following actions should be taken to troubleshoot this issue?

Options:

A.

Check that an Amazon EventBridge rule has been created for the main branch to trigger the pipeline.

B.

Check that the CodePipeline service role has permission to access the CodeCommit repository.

C.

Check that the developer’s IAM role has permission to push to the CodeCommit repository.

D.

Check to see if the pipeline failed to start because of CodeCommit errors in Amazon CloudWatch Logs.

Question 3

A DevOps engineer has automated a web service deployment by using AWS CodePipeline with the following steps:

1) An AWS CodeBuild project compiles the deployment artifact and runs unit tests.

2) An AWS CodeDeploy deployment group deploys the web service to Amazon EC2 instances in the staging environment.

3) A CodeDeploy deployment group deploys the web service to EC2 instances in the production environment.

The quality assurance (QA) team requests permission to inspect the build artifact before the deployment to the production environment occurs. The QA team wants to run an internal penetration testing tool to conduct manual tests. The tool will be invoked by a REST API call.

Which combination of actions should the DevOps engineer take to fulfill this request? (Choose two.)

Options:

A.

Insert a manual approval action between the test actions and deployment actions of the pipeline.

B.

Modify the buildspec.yml file for the compilation stage to require manual approval before completion.

C.

Update the CodeDeploy deployment groups so that they require manual approval to proceed.

D.

Update the pipeline to directly call the REST API for the penetration testing tool.

E.

Update the pipeline to invoke an AWS Lambda function that calls the REST API for the penetration testing tool.

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