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The AWS Certified DevOps Engineer - Professional (DOP-C02) (AWS-DevOps-Professional)

Passing Amazon AWS Certified DevOps Engineer Professional exam ensures for the successful candidate a powerful array of professional and personal benefits. The first and the foremost benefit comes with a global recognition that validates your knowledge and skills, making possible your entry into any organization of your choice.

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AWS-DevOps-Professional Exam Dumps
  • Exam Code: AWS-DevOps-Professional
  • Vendor: Amazon
  • Certifications: AWS Certified DevOps Engineer Professional
  • Exam Name: AWS Certified DevOps Engineer - Professional (DOP-C02)
  • Updated: Mar 26, 2026 Free Updates: 90 days Total Questions: 322 Try Free Demo

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Amazon AWS-DevOps-Professional Exam Domains Q&A

Certified instructors verify every question for 100% accuracy, providing detailed, step-by-step explanations for each.

Question 1 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

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?

  • 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.

Correct Answer & Rationale:

Answer: D

Explanation:

    Amazon ECR enhanced scanning uses Amazon Inspector for vulnerability detection.

    EventBridge can capture Inspector scan findings.

    Lambda can process scan findings and reject manual approval if critical vulnerabilities exist.

    Options A and C use incorrect or less integrated services (basic scanning or Detective).

    Option B adds unnecessary complexity with SBOM and Athena.

[References:, Amazon ECR Image Scanning, Integrating ECR Scanning with CodePipeline, ]

Question 2 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

A company has developed an AWS Lambda function that handles orders received through an API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a CI/CD pipeline.

A DevOps engineer has noticed there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation the DevOps engineer believes the failures are due to database changes not having fully propagated before the Lambda function is invoked

How should the DevOps engineer overcome this?

  • A.

    Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function.

  • B.

    Add an AfterAlIowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond.

  • C.

    Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function.

  • D.

    Add a validateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready.

Correct Answer & Rationale:

Answer: A

Explanation:

https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html#appspec-hooks-lambda

Question 3 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

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?

  • 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.

Correct Answer & Rationale:

Answer: B

Question 4 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

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?

  • 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.

Correct Answer & Rationale:

Answer: C

Explanation:

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.

Question 5 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

A company is storing 100 GB of log data in csv format in an Amazon S3 bucket SQL developers want to query this data and generate graphs to visualize it. The SQL developers also need an efficient automated way to store metadata from the csv file.

Which combination of steps will meet these requirements with the LEAST amount of effort? (Select THREE.)

  • A.

    Fitter the data through AWS X-Ray to visualize the data.

  • B.

    Filter the data through Amazon QuickSight to visualize the data.

  • C.

    Query the data with Amazon Athena.

  • D.

    Query the data with Amazon Redshift.

  • E.

    Use the AWS Glue Data Catalog as the persistent metadata store.

  • F.

    Use Amazon DynamoDB as the persistent metadata store.

Correct Answer & Rationale:

Answer: B, C, E

Explanation:

https://docs.aws.amazon.com/glue/latest/dg/components-overview.html

Question 6 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

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.)

  • 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.

Correct Answer & Rationale:

Answer: A, E

Explanation:

https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/metrics-collected-by-CloudWatch-agent.html

Question 7 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository

The deployment must have the following:

• Separate environment pipelines for testing and production

• Automatic deployment that occurs for test environments only

Which steps should be taken to meet these requirements'?

  • A.

    Configure a new AWS CodePipelme service Create a CodeCommit repository for each environment Set up CodePipeline to retrieve the source code from the appropriate repository Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.

  • B.

    Create two AWS CodePipeline configurations for test and production environments Configure the production pipeline to have a manual approval step Create aCodeCommit repository for each environment Set up each CodePipeline to retrieve the source code from the appropriate repository Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.

  • C.

    Create two AWS CodePipeline configurations for test and production environments Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation

  • D.

    Create an AWS CodeBuild configuration for test and production environments Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment Push the Lambda function code to an Amazon S3 bucket Set up the deployment step to deploy the Lambda functions from the S3 bucket.

Correct Answer & Rationale:

Answer: C

Explanation:

The correct approach to meet the requirements for separate environment pipelines and automatic deployment for test environments is to create two AWS CodePipeline configurations, one for each environment. The production pipeline should have a manual approval step to ensure that changes are reviewed before being deployed to production. A single AWS CodeCommit repository with separate branches for each environment allows for organized and efficient code management. Each CodePipeline retrieves the source code from the appropriate branch in the repository. The deployment step utilizes AWS CloudFormation to deploy the Lambda functions, ensuring that the infrastructure as code is maintained and version-controlled.

AWS Lambda with Amazon API Gateway: Using AWS Lambda with Amazon API Gateway

Tutorial on using Lambda with API Gateway: Tutorial: Using Lambda with API Gateway

AWS CodePipeline automatic deployment: Set Up a Continuous Deployment Pipeline Using AWS CodePipeline

Building a pipeline for test and production stacks: Walkthrough: Building a pipeline for test and production stacks

Question 8 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

A company has a data ingestion application that runs across multiple AWS accounts. The accounts are in an organization in AWS Organizations. The company needs to monitor the application and consolidate access to the application. Currently the company is running the application on Amazon EC2 instances from several Auto Scaling groups. The EC2 instances have no access to the internet because the data is sensitive Engineers have deployed the necessary VPC endpoints. The EC2 instances run a custom AMI that is built specifically tor the application.

To maintain and troubleshoot the application, system administrators need the ability to log in to the EC2 instances. This access must be automated and controlled centrally. The company's security team must receive a notification whenever the instances are accessed.

Which solution will meet these requirements?

  • A.

    Create an Amazon EventBridge rule to send notifications to the security team whenever a user logs in to an EC2 instance Use EC2 Instance Connect to log in to the instances. Deploy Auto Scaling groups by using AWS Cloud Formation Use the cfn-init helper script to deploy appropriate VPC routes for external access Rebuild the custom AMI so that the custom AMI includes AWS Systems Manager Agent.

  • B.

    Deploy a NAT gateway and a bastion host that has internet access Create a security group that allows incoming traffic on all the EC2 instances from the bastion host Install AWS Systems Manager Agent on all the EC2 instances Use Auto Scaling group lifecycle hooks for monitoring and auditing access Use Systems Manager Session Manager to log in to the instances Send logs to a log group m Amazon CloudWatch Logs. Export data to Amazon S3 for aud

  • C.

    Use EC2 Image Builder to rebuild the custom AMI Include the most recent version of AWS Systems Manager Agent in the Image Configure the Auto Scaling group to attach the AmazonSSMManagedinstanceCore role to all the EC2 instances Use Systems Manager Session Manager to log in to the instances Enable logging of session details to Amazon S3 Create an S3 event notification for new file uploads to send a message to the security team through an Ama

  • D.

    Use AWS Systems Manager Automation to build Systems Manager Agent into the custom AMI Configure AWS Configure to attach an SCP to the root organization account to allow the EC2 instances to connect to Systems Manager Use Systems Manager Session Manager to log in to the instances Enable logging of session details to Amazon S3 Create an S3 event notification for new file uploads to send a message to the security team through an Amazon Simple

Correct Answer & Rationale:

Answer: C

Explanation:

Even if AmazonSSMManagedlnstanceCore is a managed policy and not an IAM role I will go with C because this policy is to be attached to an IAM role for EC2 to access System Manager.

Question 9 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

A company requires that its internally facing web application be highly available. The architecture is made up of one Amazon EC2 web server instance and one NAT instance that provides outbound internet access for updates and accessing public data.

Which combination of architecture adjustments should the company implement to achieve high availability? (Choose two.)

  • A.

    Add the NAT instance to an EC2 Auto Scaling group that spans multiple Availability Zones. Update the route tables.

  • B.

    Create additional EC2 instances spanning multiple Availability Zones. Add an Application Load Balancer to split the load between them.

  • C.

    Configure an Application Load Balancer in front of the EC2 instance. Configure Amazon CloudWatch alarms to recover the EC2 instance upon host failure.

  • D.

    Replace the NAT instance with a NAT gateway in each Availability Zone. Update the route tables.

  • E.

    Replace the NAT instance with a NAT gateway that spans multiple Availability Zones. Update the route tables.

Correct Answer & Rationale:

Answer: B, D

Explanation:

https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-gateway.html

Question 10 Amazon AWS-DevOps-Professional
QUESTION DESCRIPTION:

A large company recently acquired a small company. The large company invited the small company to join the large company's existing organization in AWS Organizations as a new OU. A DevOps engineer determines that the small company needs to launch t3.small Amazon EC2 instance types for the company's application workloads. The small company needs to deploy the instances only within US-based AWS Regions. The DevOps engineer needs to use an SCP in the small company's new OU to ensure that the small company can launch only the required instance types. Which solution will meet these requirements?

  • A.

    Configure a statement to deny the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is not equal to t3.small. Configure another statement to deny the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is not equal to us-.

  • B.

    Configure a statement to allow the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is not equal to t3.small. Configure another statement to allow the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is not equal to us-.

  • C.

    Configure a statement to deny the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is equal to t3.small. Configure another statement to deny the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is equal to us-.

  • D.

    Configure a statement to allow the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is equal to t3.small. Configure another statement to allow the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is equal to us-.

Correct Answer & Rationale:

Answer: B

Amazon AWS-DevOps-Professional verified by Gene Whitlock
Verified by Certified Instructors

This Amazon AWS-DevOps-Professional study pack was audited and verified on March 26, 2026 by Gene Whitlock,. We ensure every technical rationale aligns with real-world enterprise standards.

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There are only a formal set of prerequisites to take the AWS-DevOps-Professional Amazon exam. It depends of the Amazon organization to introduce changes in the basic eligibility criteria to take the exam. Generally, your thorough theoretical knowledge and hands-on practice of the syllabus topics make you eligible to opt for the exam.

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How many questions are on the AWS Certified DevOps Engineer Professional AWS-DevOps-Professional exam?

The AWS-DevOps-Professional Amazon exam usually comprises 100 to 120 questions. However, the number of questions may vary. The reason is the format of the exam that may include unscored and experimental questions sometimes. Mostly, the actual exam consists of various question formats, including multiple-choice, simulations, and drag-and-drop.

How long does it take to study for the AWS Certified DevOps Engineer Professional Certification exam?

It actually depends on one's personal keenness and absorption level. However, usually people take three to six weeks to thoroughly complete the Amazon AWS-DevOps-Professional exam prep subject to their prior experience and the engagement with study. The prime factor is the observation of consistency in studies and this factor may reduce the total time duration.

Is the AWS-DevOps-Professional AWS Certified DevOps Engineer Professional exam changing in 2026?

Yes. Amazon has transitioned to v1.1, which places more weight on Network Automation, Security Fundamentals, and AI integration. Our 2026 bank reflects these specific updates.

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