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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:
435
Last Updated:
Jun 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

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Question 1

A company runs an application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster in the company ' s primary AWS Region and secondary Region. The company uses Auto Scaling groups to distribute each EKS cluster’s worker nodes across multiple Availability Zones. Both EKS clusters also have an Application Load Balancer (ALB) to distribute incoming traffic.

The company wants to deploy a new stateless application to its infrastructure. The company requires a multi-Region, fault tolerant solution.

Which solution will meet these requirements?

Options:

A.

Deploy the new application to both EKS clusters. Create Amazon Route 53 records with health checks for both ALBs. Use a failover routing policy. Implement Kubernetes readiness and liveness probes.

B.

Deploy the new application to the EKS cluster in the primary Region. Create Amazon Route 53 records with health checks for the primary Region ALB. Use a simple routing policy.

C.

Deploy the new application to both EKS clusters. Create Amazon Route 53 records with a weighted routing policy that evenly splits traffic between both ALBs. Implement Kubernetes readiness and liveness probes.

D.

Deploy the new application to the EKS cluster in the primary Region. Create Amazon Route 53 records with health checks for the primary Region ALB. Use a failover routing policy.

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Question 2

A space exploration company receives telemetry data from multiple satellites. Small packets of data are received through Amazon API Gateway and are placed directly into an Amazon Simple Queue Service (Amazon SQS) standard queue. A custom application is subscribed to the queue and transforms the data into a standard format.

Because of inconsistencies in the data that the satellites produce, the application is occasionally unable to transform the data. In these cases, the messages remain in the SQS queue. A DevOps engineer must develop a solution that retains the failed messages and makes them available to scientists for review and future processing.

Which solution will meet these requirements?

Options:

A.

Configure AWS Lambda to poll the SQS queue and invoke a Lambda function to check whether the queue messages are valid. If validation fails, send a copy of the data that is not valid to an Amazon S3 bucket so that the scientists can review and correct the data. When the data is corrected, amend the message in the SQS queue by using a replay Lambda function with the corrected data.

B.

Convert the SQS standard queue to an SQS FIFO queue. Configure AWS Lambda to poll the SQS queue every 10 minutes by using an Amazon EventBridge schedule. Invoke the Lambda function to identify any messages with a SentTimestamp value that is older than 5 minutes, push the data to the same location as the application ' s output location, and remove the messages from the queue.

C.

Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.

D.

Configure API Gateway to send messages to different SQS virtual queues that are named for each of the satellites. Update the application to use a new virtual queue for any data that it cannot transform, and send the message to the new virtual queue. Instruct the scientists to use the virtual queue to review the data that is not valid. Reprocess this data at a later time.

Question 3

A company containerized its Java app and uses CodePipeline. They want to scan images in ECR for vulnerabilities and reject images with critical vulnerabilities in a manual approval stage.

Which solution meets these?

Options:

A.

Basic scanning with EventBridge for Inspector findings and Lambda to reject manual approval if critical vulnerabilities found.

B.

Enhanced scanning, Lambda invokes Inspector for SBOM, exports to S3, Athena queries SBOM, rejects manual approval on critical findings.

C.

Enhanced scanning, EventBridge listens to Detective scan findings, Lambda rejects manual approval on critical vulnerabilities.

D.

Enhanced scanning, EventBridge listens to Inspector scan findings, Lambda rejects manual approval on critical vulnerabilities.

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