Amazon Web ServicesProfessional levelDOP-C02

DOP-C02 exam dumps: 411 free AWS DevOps Engineer Professional practice questions

Free DOP-C02 practice questions for the AWS Certified DevOps Engineer - Professional exam, with the correct answer and a full explanation for every option. Read the first 10 below, browse all 411 by number, or take a timed practice exam.

Question bank last updated December 2024

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Free DOP-C02 practice questions

Questions 1 to 10 of 411

Pick an answer before you open the explanation. Each question also has its own page with a permalink.

DOP-C02 Question 1

Select 2

Your organization uses AWS CodePipeline to deploy a microservices-based application. The development team has requested that the pipeline should automatically trigger a rollback to the previous version if the integration tests fail during the staging phase. Which combination of steps will fulfill this requirement?

A
Add a manual approval action after the staging phase to allow rollback decisions.
B
Configure an AWS Lambda function in the staging phase to detect test failures and invoke an API call to initiate a rollback.
C
Use AWS CodeDeploy with a deployment configuration that supports automatic rollbacks.
D
Enable the 'Automatically roll back on failure' option in the staging phase of AWS CodePipeline.
E
Add an 'Invoke AWS Lambda function' action in the pipeline to monitor test results and trigger a rollback.

Show answer and explanation

Correct answers: B, C

Explanation

To implement automatic rollbacks when integration tests fail during the staging phase, you can use AWS Lambda to detect failures and trigger a rollback. Additionally, AWS CodeDeploy provides built-in rollback support, which can be leveraged in conjunction with deployment configurations. Together, these options enable a fully automated rollback mechanism without manual intervention.

A. Incorrect.
Adding a manual approval action does not automate the rollback process and requires human intervention, which does not meet the requirement for automatic rollback.
B. Correct.
Using an AWS Lambda function to detect test failures and trigger a rollback is a valid approach that allows automation of the rollback process when integration tests fail.
C. Correct.
AWS CodeDeploy supports automatic rollbacks if configured correctly, making this a suitable option for the scenario.
D. Incorrect.
AWS CodePipeline does not natively support an 'Automatically roll back on failure' option in the staging phase. Rollback functionality must be implemented through other services or custom logic.
E. Incorrect.
While invoking an AWS Lambda function can be part of the solution, simply monitoring test results is not sufficient unless it explicitly triggers a rollback. This option lacks the necessary detail to meet the requirement.

DOP-C02 Question 2

Select 3

Your team is implementing an automated CI/CD pipeline for a web application hosted on Amazon ECS using AWS CodePipeline. The pipeline must build the application, run automated tests, and deploy it to a staging environment. To ensure SDLC automation best practices, which combination of actions should you take to achieve this?

A
Use AWS CodeBuild to compile the application source code and run unit tests.
B
Configure a manual approval step in AWS CodePipeline before deploying to the staging environment.
C
Deploy the application to the staging environment using AWS CodeDeploy with a Canary deployment strategy.
D
Store environment-specific configuration files in Amazon S3 and fetch them during the build process.
E
Use a single monolithic pipeline to handle builds, tests, and deployments for production, staging, and development environments.

Show answer and explanation

Correct answers: A, C, D

Explanation

To implement SDLC automation best practices in a CI/CD pipeline, you should use AWS services like CodeBuild for building and testing, CodeDeploy for safe deployment strategies, and externalize environment-specific configurations to avoid hardcoding. Avoid manual steps or monolithic pipelines as they contradict automation principles.

A. Correct.
Correct. AWS CodeBuild is a fully managed build service that can compile source code, run tests, and produce build artifacts. This aligns with SDLC automation best practices.
B. Incorrect.
Incorrect. A manual approval step is not necessary for deploying to a staging environment. Such steps are typically used for production environments to allow human oversight.
C. Correct.
Correct. AWS CodeDeploy's Canary deployment strategy gradually shifts traffic, reducing risk during deployments. It's a best practice for automated pipelines.
D. Correct.
Correct. Storing environment-specific configurations in Amazon S3 and fetching them during the build process ensures configuration is externalized and manageable, which is a best practice.
E. Incorrect.
Incorrect. Using a single monolithic pipeline for all environments is not recommended. Separate pipelines for different environments improve modularity, maintainability, and allow for environment-specific customizations.

DOP-C02 Question 3

Select 2

Your team is responsible for managing a CI/CD pipeline for a serverless application hosted on AWS. The pipeline includes source code in AWS CodeCommit, build configurations in AWS CodeBuild, and deployment using AWS CodeDeploy. You want to ensure that the pipeline automatically triggers a deployment when changes are pushed to the main branch in CodeCommit. Which combination of actions should you take to achieve this?

A
Set up an Amazon CloudWatch Event rule to trigger the pipeline execution when a CodeCommit event occurs.
B
Configure an AWS Lambda function to listen to CodeCommit events and manually invoke the pipeline.
C
Add an event trigger in CodePipeline to listen to changes in the main branch of the CodeCommit repository.
D
Enable the CodePipeline webhook to automatically detect changes in the CodeCommit repository.
E
Manually trigger the pipeline execution through the AWS Management Console after every commit.

Show answer and explanation

Correct answers: A, D

Explanation

To automate the CI/CD pipeline for changes in the CodeCommit repository, you can use either an Amazon CloudWatch Event rule or a CodePipeline webhook. Both options allow the pipeline to automatically trigger when a push event occurs, ensuring smooth integration and automation within the SDLC workflow. Other methods like manual triggering or using Lambda functions add unnecessary complexity or negate the purpose of pipeline automation.

A. Correct.
Correct: An Amazon CloudWatch Event rule can monitor changes in the CodeCommit repository and trigger the pipeline when a specific event (e.g., a push to the main branch) occurs.
B. Incorrect.
Incorrect: While an AWS Lambda function could be configured to trigger the pipeline, it is not the most efficient or AWS-recommended approach for automating CI/CD pipelines with CodePipeline.
C. Incorrect.
Incorrect: There is no direct configuration in CodePipeline to listen to changes in CodeCommit. Triggers must be set up through external services like CloudWatch Events or webhooks.
D. Correct.
Correct: Enabling the CodePipeline webhook integrates CodeCommit with CodePipeline, allowing it to automatically detect and respond to changes in the repository.
E. Incorrect.
Incorrect: Manually triggering the pipeline through the AWS Management Console negates the purpose of automation in a CI/CD pipeline and is not a recommended approach.

DOP-C02 Question 4

Select 3

Your organization is implementing a CI/CD pipeline for a microservices-based application hosted on AWS. The pipeline must automatically deploy containerized applications to an Amazon ECS cluster after running unit tests, integration tests, and security scans. The deployment process should ensure zero downtime and allow quick rollback if issues are detected. Which combination of AWS services and features should you use to meet these requirements?

A
AWS CodePipeline to orchestrate the pipeline and Amazon ECS with a rolling update deployment strategy
B
AWS CodeBuild for running unit tests, integration tests, and security scans
C
Amazon ECS with Blue/Green deployments using AWS CodeDeploy
D
AWS Lambda for running integration tests and triggering deployments
E
Amazon Elastic Beanstalk for handling the containerized application deployment

Show answer and explanation

Correct answers: A, B, C

Explanation

The best approach for implementing the described CI/CD pipeline involves using AWS CodePipeline for orchestration, AWS CodeBuild for running tests and security scans, and Amazon ECS with Blue/Green deployments using AWS CodeDeploy to ensure zero-downtime deployments and quick rollbacks. Rolling updates can work for minimal downtime but do not provide the same level of control for rollback as Blue/Green deployments.

A. Correct.
Correct: AWS CodePipeline is designed to orchestrate CI/CD pipelines, and Amazon ECS with rolling updates can deploy containerized applications with minimal downtime. However, for zero-downtime deployment and rollback, Blue/Green deployments are a better option (covered in another option).
B. Correct.
Correct: AWS CodeBuild is ideal for running tests and performing security scans during the CI/CD pipeline execution.
C. Correct.
Correct: Amazon ECS with Blue/Green deployments using AWS CodeDeploy ensures zero-downtime deployments and facilitates quick rollbacks if issues are detected.
D. Incorrect.
Incorrect: While AWS Lambda can run integration tests, it's not the optimal choice for orchestrating a CI/CD pipeline or handling deployments in this scenario.
E. Incorrect.
Incorrect: Amazon Elastic Beanstalk is a managed application environment but is not a suitable choice for deploying containerized microservices to Amazon ECS.

DOP-C02 Question 5

Single answer

A company is using AWS CodePipeline to implement a CI/CD pipeline for its application. The pipeline has three stages: Source, Build, and Deploy. The Build stage uses AWS CodeBuild to compile and test the application. The Deploy stage deploys the application to multiple Amazon ECS clusters in different AWS regions. The team notices that deployments sometimes fail due to inconsistent configurations between the regions. How can the team ensure that the ECS clusters in all regions are consistently configured before deployment?

A
Use AWS CloudFormation StackSets to deploy consistent ECS cluster configurations across all regions.
B
Use AWS CodeCommit to store ECS cluster configuration scripts and execute them using AWS Lambda before deployment.
C
Implement manual configuration checks in each region before deployment to ensure consistency.
D
Use AWS Systems Manager Parameter Store to centrally manage ECS cluster configurations and synchronize them before deployment.

Show answer and explanation

Correct answer: A

Explanation

To ensure consistent configurations across multiple regions, AWS CloudFormation StackSets is the best solution as it automates the deployment of the same CloudFormation stack to multiple regions and accounts. This eliminates inconsistencies and integrates seamlessly with the CI/CD pipeline.

A. Correct.
This is the correct option. AWS CloudFormation StackSets allow you to deploy and manage CloudFormation stacks across multiple AWS accounts and regions, ensuring consistent configurations for resources like ECS clusters.
B. Incorrect.
While storing configuration scripts in AWS CodeCommit is a good practice, executing them manually with AWS Lambda does not guarantee consistency across regions, and it adds unnecessary complexity.
C. Incorrect.
Manual configuration checks are error-prone and time-consuming, making them unsuitable for ensuring consistent configurations in a CI/CD pipeline.
D. Incorrect.
AWS Systems Manager Parameter Store is useful for managing configuration values, but it does not directly ensure that ECS clusters are configured consistently across regions.

DOP-C02 Question 6

Select 3

Your organization uses AWS CodePipeline to orchestrate a CI/CD workflow for deploying a serverless application to AWS Lambda. One of the requirements is to ensure the production deployment occurs only after manual approval. Additionally, the pipeline should automatically roll back the deployment if the updated Lambda function results in errors in the production environment. How can you implement this solution?

A
Add a Manual Approval action in the production stage of the pipeline.
B
Enable Automatic Rollback in the deployment configuration of the Lambda function.
C
Use an Amazon CloudWatch Alarm to monitor errors in Lambda and trigger a rollback if a threshold is breached.
D
Integrate AWS Step Functions to handle rollbacks and approvals within the pipeline.
E
Use AWS CodeDeploy for deploying the Lambda function and configure the CodePipeline to use it in the deployment stage.

Show answer and explanation

Correct answers: A, B, E

Explanation

To meet the requirements, you need to add a Manual Approval action in the production stage to enforce manual intervention and use AWS CodeDeploy with Automatic Rollback for handling Lambda deployments. CodeDeploy integrates seamlessly with CodePipeline and allows you to configure deployment strategies and rollbacks. While CloudWatch Alarms and Step Functions are powerful tools, they are not the best fit for this scenario given the native capabilities of CodePipeline and CodeDeploy.

A. Correct.
Adding a Manual Approval action ensures that the production deployment will not proceed without explicit approval, fulfilling the requirement for manual intervention.
B. Correct.
Enabling Automatic Rollback in the deployment configuration ensures that the deployment can automatically revert to the previous version if errors occur, addressing the rollback requirement.
C. Incorrect.
While CloudWatch Alarms can monitor Lambda errors, they do not directly integrate with CodePipeline to automatically trigger rollbacks. This requires additional custom automation.
D. Incorrect.
AWS Step Functions is not necessary for this use case as CodePipeline and AWS CodeDeploy natively support the required functionality (manual approval and rollback).
E. Correct.
Using AWS CodeDeploy for deploying the Lambda function allows you to configure rollback and other deployment strategies, making it the correct deployment tool for this scenario.

DOP-C02 Question 7

Select 3

Your company is building a CI/CD pipeline for a serverless application deployed on AWS Lambda. The pipeline needs to automate the build, test, and deployment processes. Additionally, the deployment should only proceed to the production environment if all tests in the staging environment pass. Which combination of AWS services and features will help you implement this pipeline effectively?

A
AWS CodePipeline with manual approval steps for production deployment
B
AWS CodeDeploy with traffic-shifting deployment configuration for Lambda
C
AWS CodeBuild for running unit tests and integration tests
D
Amazon S3 for storing build artifacts
E
AWS CloudFormation for defining the pipeline and infrastructure as code

Show answer and explanation

Correct answers: A, B, C

Explanation

To implement a CI/CD pipeline for a serverless application, AWS CodePipeline is used to orchestrate the process, AWS CodeBuild is used to build and test the application, and AWS CodeDeploy is used to handle deployments with traffic-shifting capabilities for Lambda. Manual approval steps in CodePipeline ensure deployments to production are gated by successful tests. While Amazon S3 and AWS CloudFormation are useful tools, they are not critical to the pipeline implementation described in the scenario.

A. Correct.
Correct: AWS CodePipeline supports orchestrating the CI/CD pipeline and allows you to include manual approval steps for ensuring that deployments to production only happen after successful testing.
B. Correct.
Correct: AWS CodeDeploy supports traffic-shifting configurations for Lambda deployments, which allow you to gradually shift traffic to a new version and roll back in case of failures.
C. Correct.
Correct: AWS CodeBuild is a fully managed build service that can be used to compile source code, run tests, and produce build artifacts.
D. Incorrect.
Incorrect: While Amazon S3 can be used for storing build artifacts, it is not essential for implementing the CI/CD pipeline itself in this scenario.
E. Incorrect.
Incorrect: AWS CloudFormation is useful for defining infrastructure as code, but it is not directly required for the CI/CD pipeline or the deployment process described.

DOP-C02 Question 8

Single answer

You are managing a CI/CD pipeline for an application hosted on AWS. The pipeline uses AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. The application is deployed to an Auto Scaling group of Amazon EC2 instances running in two Availability Zones. A new requirement mandates that the pipeline should automatically roll back to the previous application version if a deployment fails. How can you implement this rollback functionality?

A
Enable automatic rollback in the CodeDeploy deployment group configuration and specify failure conditions.
B
Add a manual approval action in the CodePipeline workflow to approve or reject rollbacks.
C
Configure the CodeBuild project to monitor deployment failures and trigger a rollback script.
D
Use an Amazon CloudWatch alarm to detect deployment failures and trigger a Lambda function that initiates a rollback.

Show answer and explanation

Correct answer: A

Explanation

To implement automatic rollback for deployments in AWS CodeDeploy, you can enable the rollback feature in the deployment group configuration. This allows CodeDeploy to automatically roll back to the last known good application revision if a deployment fails. It is a built-in, managed feature that simplifies handling deployment failures, ensuring consistency and reliability.

A. Correct.
This is correct. AWS CodeDeploy provides a built-in feature to enable automatic rollback. You can configure the deployment group to roll back when specific failure conditions occur, such as failed deployments or alarm triggers.
B. Incorrect.
This is incorrect. A manual approval action in CodePipeline does not automate the rollback process. It requires human intervention and does not fulfill the 'automatic rollback' requirement.
C. Incorrect.
This is incorrect. CodeBuild is primarily used for building and testing code. While you can write custom scripts to handle rollbacks, it is not the recommended or built-in way to manage rollback functionality in AWS.
D. Incorrect.
This is incorrect. While CloudWatch alarms and Lambda functions can provide custom rollback mechanisms, CodeDeploy already provides a native automatic rollback feature that is more efficient and easier to maintain.

DOP-C02 Question 9

Single answer

Your team is leveraging AWS CodePipeline to automate the deployment of a web application. The application uses an Amazon S3 bucket for static content and an Amazon ECS service for the backend. During the deployment, you want to ensure that the ECS service is updated only if the new version of the static content has been successfully uploaded to the S3 bucket. Which strategy would BEST meet this requirement?

A
Add a manual approval action between the S3 upload and ECS deployment stages.
B
Use an Amazon S3 source action with a trigger to automatically start the ECS deployment.
C
Include a dependency condition in CodePipeline to ensure the ECS deployment depends on the successful completion of the S3 upload stage.
D
Enable a CodePipeline retry on failure for the ECS deployment stage to handle any issues with the S3 upload.

Show answer and explanation

Correct answer: C

Explanation

In AWS CodePipeline, dependencies between stages can be enforced using dependency conditions. By making the ECS deployment stage dependent on the successful completion of the S3 upload stage, you ensure that the ECS service is only updated after the static content has been successfully uploaded, meeting the requirements for this scenario.

A. Incorrect.
This adds a manual step that delays automation and does not inherently enforce a dependency between the S3 upload and ECS deployment stages.
B. Incorrect.
While an S3 source action can trigger pipelines, it does not enforce logical dependencies between stages in the same pipeline.
C. Correct.
This is the correct answer because CodePipeline supports defining dependencies between stages, ensuring that the ECS deployment only occurs after a successful S3 upload.
D. Incorrect.
Retrying on failure is useful for transient issues but does not address the need to enforce the dependency between the S3 upload and ECS deployment stages.

DOP-C02 Question 10

Select 4

You are managing a CI/CD pipeline for a critical application that processes financial transactions. The pipeline is configured to deploy to Amazon ECS using AWS CodePipeline and AWS CodeBuild. Recently, a deployment introduced a bug that caused application downtime in production. You need to ensure future deployments are more robust and prevent faulty code from reaching production. Which of the following actions should you take to improve the pipeline's reliability?

A
Implement automated unit tests and run them during the build stage in AWS CodeBuild.
B
Add a manual approval action to the pipeline before deploying to production.
C
Enable AWS CodeDeploy with Canary deployment strategy for ECS services.
D
Use CloudWatch Alarms to automatically roll back deployments if health checks fail.
E
Switch to deploying directly to production without a staging environment to speed up releases.

Show answer and explanation

Correct answers: A, B, C, D

Explanation

To improve the reliability of deployments, a combination of automated testing, manual oversight, and gradual deployment strategies should be implemented. Automated unit tests catch issues early, while manual approval actions provide an additional layer of validation. Canary deployments reduce the impact of issues by rolling out changes incrementally, and CloudWatch Alarms ensure that any degradation in application health is immediately addressed. These practices together ensure robust, reliable deployments.

A. Correct.
Implementing automated unit tests ensures that basic functionality is validated before deployment, reducing the risk of introducing bugs.
B. Correct.
Adding a manual approval action allows human oversight, which can catch issues that automated tests might miss.
C. Correct.
Using AWS CodeDeploy with a Canary deployment strategy ensures that the new version is rolled out incrementally, reducing the blast radius of potential issues.
D. Correct.
CloudWatch Alarms can monitor health checks and automatically trigger rollbacks if a deployment degrades application performance, improving overall reliability.
E. Incorrect.
Deploying directly to production without a staging environment is risky and contradicts best practices for ensuring application stability.

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75 questions in 180 minutes, drawn from this bank, with a score report and a per-question review when you finish.

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What the DOP-C02 exam covers

Official AWS Certified DevOps Engineer - Professional exam domains and weightings.

SDLC Automation
22% of exam
Configuration Management and IaC
17% of exam
Resilient Cloud Solutions
15% of exam
Monitoring and Logging
15% of exam
Incident and Event Response
14% of exam
Security and Compliance
17% of exam

All 411 DOP-C02 practice questions

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DOP-C02 exam dumps FAQ

Are these DOP-C02 dumps real exam questions?

No. These are original practice questions written to the AWS Certified DevOps Engineer - Professional exam objectives, not questions copied from a live exam. Memorising leaked questions violates Amazon Web Services's candidate agreement and stops working the moment the question pool rotates. Use this bank to check your understanding of each domain and to find the topics you still need to study.

How many DOP-C02 practice questions are there?

411 questions, each with the correct answer, an explanation of the answer, and a note on why every other option is wrong. The first 10 are on this page and every question has its own page linked below.

Are the DOP-C02 exam dumps free?

Yes. Every question, answer and explanation on this page and the linked question pages is free to read without an account. A free HydraNode account adds timed practice exams, scoring and progress tracking across attempts.

How do I take a timed DOP-C02 practice test?

Sign in and start the AWS Certified DevOps Engineer - Professional exam on HydraNode. A session gives you 75 questions drawn from this bank in 180 minutes, then a score report with a per-question review.

What topics does the DOP-C02 exam cover?

The official exam domains are: SDLC Automation; Configuration Management and IaC; Resilient Cloud Solutions; Monitoring and Logging; Incident and Event Response; Security and Compliance.

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