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Amazon Web Services DOP-C02 Dumps Questions Answers

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AWS Certified DevOps Engineer - Professional

Last Update Nov 8, 2025
Total Questions : 366 With Comprehensive Analysis

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SAP-C02 Total Questions : 569 Updated : Nov 8, 2025

AWS Certified DevOps Engineer - Professional Questions and Answers

Questions 1

A company has a stateless web application that is deployed on Amazon EC2 instances. The EC2 instances are in a target group behind an Application Load Balancer (ALB). Amazon Route 53 manages the application domain.

The company updates the application UI and develops a beta version of the application. The company wants to test the beta version on 10% of its traffic.

Which solution will meet these requirements with the LEAST number of configuration changes?

Options:

A.

Deploy the beta version to new EC2 instances in a new target group. Associate the new target group with a new ALB. Update the existing Route 53 record to use a weighted routing policy. Add a new Route 53 record that points to the new ALB with the same routing policy. Assign a weight of 90 to the existing record. Assign a weight of 10 to the new record.

B.

Deploy the beta version to new EC2 instances in a new target group. Associate the new target group with the same ALB listener rule. Assign a weight of 90 to the existing target group. Assign a weight of 10 to the new target group.

C.

Refactor the application to implement a feature flag for the beta version by using AWS AppConfig. Use the feature flag to enable the beta version for 10% of the EC2 instances.

D.

Containerize and deploy the application on Amazon Elastic Container Service (Amazon ECS). Use AWS CodeDeploy to deploy the beta version by using the CodeDeployDefault.ECSCanary10Percent15Minutes deployment configuration.

Questions 2

A company wants to decrease the time it takes to develop new features. The company uses AWS CodeBuild and AWS CodeDeploy to build and deploy its applications. The company uses AWS CodePipeline to deploy each microservice with its own CI/CD pipeline. The company needs more visibility into the average time between the release of new features and the average time to recover after a failed deployment. Which solution will provide this visibility with the LEAST configuration effort?

Options:

A.

Program an AWS Lambda function that creates Amazon CloudWatch custom metrics with information about successful runs and failed runs for each pipeline. Create an Amazon EventBridge rule to invoke the Lambda function every 5 minutes. Use the metrics to build a CloudWatch dashboard.

B.

Program an AWS Lambda function that creates Amazon CloudWatch custom metrics with information about successful runs and failed runs for each pipeline. Create an Amazon EventBridge rule to invoke the Lambda function after every successful run and after every failed run. Use the metrics to build a CloudWatch dashboard.

C.

Program an AWS Lambda function that writes information about successful runs and failed runs to Amazon DynamoDB. Create an Amazon EventBridge rule to invoke the Lambda function after every successful run and after every failed run. Build an Amazon QuickSight dashboard to show the information from DynamoDB.

D.

Program an AWS Lambda function that writes information about successful runs and failed runs to Amazon DynamoDB. Create an Amazon EventBridge rule to invoke the Lambda function every 5 minutes. Build an Amazon QuickSight dashboard to show the information from DynamoDB.

Questions 3

A company runs a microservices application on Amazon Elastic Kubernetes Service (Amazon EKS). Users recently reported significant delays while accessing an account summary feature, particularly during peak business hours.

A DevOps engineer used Amazon CloudWatch metrics and logs to troubleshoot the issue. The logs indicated normal CPU and memory utilization on the EKS nodes. The DevOps engineer was not able to identify where the delays occurred within the microservices architecture.

The DevOps engineer needs to increase the observability of the application to pinpoint where the delays are occurring.

Which solution will meet these requirements?

Options:

A.

Deploy the AWS X-Ray daemon as a DaemonSet in the EKS cluster. Use the X-Ray SDK to instrument the application code. Redeploy the application.

B.

Enable CloudWatch Container Insights for the EKS cluster. Use the Container Insights data to diagnose the delays.

C.

Create alarms based on the existing CloudWatch metrics. Set up an Amazon Simple Notification Service (Amazon SNS) topic to send email alerts.

D.

Increase the timeout settings in the application code for network operations to allow more time for operations to finish.