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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:
Jul 22, 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 is using AWS CodePipeline to automate its release pipeline. AWS CodeDeploy is being used in the pipeline to deploy an application to Amazon Elastic Container Service (Amazon ECS) using the blue/green deployment model. The company wants to implement scripts to test the green version of the application before shifting traffic. These scripts will complete in 5 minutes or less. If errors are discovered during these tests, the application must be rolled back.

Which strategy will meet these requirements?

Options:

A.

Add a stage to the CodePipeline pipeline between the source and deploy stages. Use AWS CodeBuild to create a runtime environment and build commands in the buildspec file to invoke test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

B.

Add a stage to the CodePipeline pipeline between the source and deploy stages. Use this stage to invoke an AWS Lambda function that will run the test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

C.

Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTestTraffic lifecycle event to invoke an AWS Lambda function to run the test scripts. If errors are found, exit the Lambda function with an error to initiate rollback.

D.

Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTraffic lifecycle event to invoke the test scripts. If errors are found, use the aws deploy stop-deployment CLI command to stop the deployment.

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Question 2

A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks

Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a significant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert when there is an issue

Which combination of actions will meet these requirements? (Select TWO.)

Options:

A.

Change the Auto Scaling configuration to replace the instances when they fail the load balancer ' s health checks.

B.

Change the target group health check HealthChecklntervalSeconds parameter to reduce the interval between health checks.

C.

Change the target group health checks from HTTP to TCP to check if the port where the application is listening is reachable.

D.

Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group Create an alarm when the memory utilization is high Associate an Amazon SNS topic to the alarm to receive notifications when the alarm goes off

E.

Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.

Question 3

A company wants to run a containerized application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that has private access enabled. The company needs to create a pipeline in AWS CodePipeline to deploy the application to the EKS cluster.

Which solution will meet this requirement?

Options:

A.

Create a pipeline in CodePipeline. Configure an AWS CodeBuild step to deploy the application to the target EKS cluster. Use AWS Secrets Manager to store a kubeconfig file to authenticate into the cluster.

B.

Create a pipeline in CodePipeline. Add a deploy stage action to the EKS cluster. Use AWS Secrets Manager to store a kubeconfig file to authenticate into the cluster.

C.

Create a pipeline in CodePipeline. Configure an AWS CodeBuild step to deploy the application to the target EKS cluster. Use AWS Secrets Manager to store the aws-auth ConfigMap to authenticate into the cluster.

D.

Create a pipeline in CodePipeline. Add a deploy stage action to the EKS cluster. Use the Amazon EKS cluster access management (CAM) API with the CodePipeline service role as an access entry.

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