Prasenjit Sarkar
By Prasenjit SarkarLast verified: 2026-09-17
Amazon Web Services (AWS)DevOpsPROFESSIONAL

AWS DevOps Certification: Complete Guide 2026

DOP-C02

The AWS Certified DevOps Engineer - Professional (DOP-C02) is the aws devops certification built for experienced IT professionals who design, automate, and operate modern cloud delivery pipelines on AWS. It matters because the exam goes beyond basics, testing SDLC Automation (22%), Configuration Management and IaC (17%), Security and Compliance (17%), and more across 75 questions in 180 minutes. If you are pursuing an aws devops engineer certification for roles like DevOps Engineer or SRE, HydraNode’s free AI-generated practice tests can help you prepare smarter. Even discussions like reddit is amazon aws devops often highlight how valuable this credential is for proving real-world AWS operations skills.

Exam Details

Exam CodeDOP-C02
Duration180 min
Questions75
Passing Score750/1000
Exam Cost$300
Validity3 years
Avg. Salary$155,000/yr

Free Exam Dumps

DOP-C02 practice questions

410 free questions with verified answers and an explanation for every option. A sample from each bank is below; every question has its own page.

DOP-C02 exam dumps (410 questions)

All DOP-C02 questions

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?

  1. A

    Add a manual approval action after the staging phase to allow rollback decisions.

  2. B

    Configure an AWS Lambda function in the staging phase to detect test failures and invoke an API call to initiate a rollback.

  3. C

    Use AWS CodeDeploy with a deployment configuration that supports automatic rollbacks.

  4. D

    Enable the 'Automatically roll back on failure' option in the staging phase of AWS CodePipeline.

  5. 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?

  1. A

    Use AWS CodeBuild to compile the application source code and run unit tests.

  2. B

    Configure a manual approval step in AWS CodePipeline before deploying to the staging environment.

  3. C

    Deploy the application to the staging environment using AWS CodeDeploy with a Canary deployment strategy.

  4. D

    Store environment-specific configuration files in Amazon S3 and fetch them during the build process.

  5. 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?

  1. A

    Set up an Amazon CloudWatch Event rule to trigger the pipeline execution when a CodeCommit event occurs.

  2. B

    Configure an AWS Lambda function to listen to CodeCommit events and manually invoke the pipeline.

  3. C

    Add an event trigger in CodePipeline to listen to changes in the main branch of the CodeCommit repository.

  4. D

    Enable the CodePipeline webhook to automatically detect changes in the CodeCommit repository.

  5. 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.

Exam Content

Exam Domains & Topics

Master these 6 domains to pass your exam

1

SDLC Automation

22%
2

Configuration Management and IaC

17%
3

Resilient Cloud Solutions

15%
4

Monitoring and Logging

15%
5

Incident and Event Response

14%
6

Security and Compliance

17%

Who Should Take This Exam?

  • IT professionals seeking Amazon Web Services (AWS) expertise
  • DevOps practitioners
  • Cloud architects and engineers
  • DevOps and infrastructure specialists
  • Technical leads and solution architects
  • Career changers entering cloud computing

Study Timeline

8-12 weeks

Recommended duration

01

Foundation · Weeks 1-2

Review exam objectives & core concepts

02

Deep Dive · Weeks 3-6

Study each domain with hands-on labs

03

Practice & Review · Weeks 7-8

Take practice exams & target weak areas

View Full Study Plan

Study Guide

DOP-C02 Study Plan

The AWS Certified DevOps Engineer - Professional (DOP-C02) certification validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. This professional-level certification demonstrates your ability to implement and manage continuous delivery systems, automate security controls, and define and deploy monitoring, metrics, and logging systems on AWS.

  1. Week 1-2

    Foundation and SDLC Automation

    Establish fundamentals and dive deep into CI/CD automation on AWS

    • Complete AWS Skill Builder DevOps learning plan fundamentals
    • Master CodePipeline, CodeBuild, and CodeDeploy
    • Create working CI/CD pipelines for different deployment targets
    • Understand deployment strategies (blue/green, canary, rolling)
  2. Week 3-4

    Infrastructure as Code and Configuration Management

    Deep dive into CloudFormation, Systems Manager, and infrastructure automation

    • Master CloudFormation templates, nested stacks, and stack sets
    • Learn AWS CDK fundamentals
    • Understand complete Systems Manager suite
    • Practice configuration management patterns
    • Study drift detection and remediation
  3. Week 5-6

    Resilience, Monitoring, and Logging

    Focus on building resilient architectures and comprehensive monitoring

    • Design multi-AZ and multi-region architectures
    • Master Auto Scaling and load balancing
    • Learn CloudWatch metrics, logs, and alarms in depth
    • Understand X-Ray distributed tracing
    • Study disaster recovery patterns
  4. Week 7-8

    Incident Response and Security

    Master automated incident response and security best practices

    • Learn EventBridge for event-driven automation
    • Create automated remediation workflows
    • Master IAM policies and cross-account access
    • Understand secrets management and encryption
    • Study security services (GuardDuty, Security Hub, Config)
  5. Week 9-10

    Integration and Advanced Topics

    Study service integrations, container orchestration, and advanced patterns

    • Deep dive into ECS and EKS deployment patterns
    • Learn Step Functions for workflow orchestration
    • Study third-party tool integrations
    • Understand compliance and governance at scale
    • Practice multi-account strategies with Organizations
  6. Week 11-12

    Practice Exams and Review

    Take practice exams, identify weak areas, and reinforce knowledge

    • Complete official AWS practice exam
    • Take multiple third-party practice exams
    • Review all exam domains focusing on weak areas
    • Practice time management (75 questions in 180 minutes)
    • Review AWS service limits and constraints
    • Consolidate knowledge with flashcards and notes

Study tips

Hands-On Practice

  • Create actual CI/CD pipelines using CodePipeline that deploy to multiple environments
  • Build CloudFormation templates from scratch rather than just reading them
  • Set up complete monitoring solutions with CloudWatch, X-Ray, and EventBridge
  • Practice troubleshooting by intentionally breaking deployments and fixing them
  • Use AWS Free Tier extensively but monitor costs closely
  • Document your lab architectures to reinforce learning

Exam Format Preparation

  • This exam features long, scenario-based questions - practice reading quickly and identifying key requirements
  • Many questions involve choosing between similar AWS services or features - know the specific use cases for each
  • Eliminate obviously wrong answers first, then choose between remaining options
  • Time management is critical: you have 2.4 minutes per question on average
  • Flag difficult questions and return to them after completing easier ones
  • The exam tests implementation knowledge, not just theoretical understanding

Service-Specific Focus

  • Master the complete DevOps suite: CodePipeline, CodeBuild, CodeDeploy, CodeCommit, CodeArtifact
  • Understand Systems Manager in depth - it appears frequently across multiple domains
  • Know CloudFormation intrinsic functions, pseudo parameters, and cross-stack references
  • Study deployment strategies thoroughly - understand when to use each type and how to implement them
  • Learn EventBridge patterns and Lambda integration for automated responses
  • Understand container orchestration differences between ECS and EKS

Common Pitfalls to Avoid

  • Don't focus too heavily on a single domain - this exam tests broad knowledge
  • Avoid memorizing service limits - understand architectural patterns instead
  • Don't neglect security - it's integrated throughout all domains, not just the security section
  • Don't assume the newest service is always the right answer - consider maturity and stability
  • Practice questions from multiple sources to avoid over-fitting to one provider's style
  • Don't skip the AWS whitepapers - they provide crucial context for best practices

Integration Patterns

  • Focus on how services integrate - exam questions often test multi-service solutions
  • Understand complete workflows: monitoring → detection → notification → response → resolution
  • Study cross-account and multi-region patterns using Organizations and stack sets
  • Learn how to connect on-premises systems to AWS DevOps services
  • Understand the integration between security services (GuardDuty, Security Hub, Config)
  • Know how to implement blue/green deployments across different compute platforms

Study Resources Strategy

  • Start with AWS Skill Builder free courses to build foundation
  • Invest in one comprehensive video course and one practice exam provider
  • Read official AWS documentation for all core services, not just course materials
  • Join study groups to discuss complex scenarios and learn from others' experiences
  • Create your own study notes and flashcards for retention
  • Review AWS re:Invent videos on DevOps topics for deep dives into specific areas

Exam day checklist

  • Arrive 30 minutes early for testing center or complete system check for online proctoring
  • Read each question completely before looking at answers - key details are often at the end
  • Look for keywords like 'most cost-effective', 'least operational overhead', 'fastest deployment'
  • Remember that AWS-native solutions are usually preferred unless integration is specifically required
  • If stuck between two answers, choose the one that provides better automation and least manual intervention
  • Use the flag feature liberally - mark questions you're uncertain about and review them at the end
  • Don't change answers unless you're certain - your first instinct is often correct
  • Watch time carefully - aim to complete first pass with 30 minutes remaining for review
  • For scenario questions, identify the current state, desired state, and constraints before selecting an answer
  • Take a deep breath if you encounter several difficult questions in a row - they're mixed throughout for everyone
  • Remember that you need 750/1000 to pass, not perfection - don't panic if some questions seem impossible
  • Trust your preparation and hands-on experience - this exam rewards practical knowledge

Career

Career Opportunities

Roles and salary potential for AWS Certified DevOps Engineer - Professional certified professionals

Related Job Titles

DevOps EngineerSite Reliability EngineerPlatform Engineer

$155,000

Average Annual Salary

Prerequisites

There are no strict formal prerequisites for the AWS Certified DevOps Engineer - Professional certification. However, Amazon Web Services (AWS) recommends having foundational knowledge of devops concepts and some hands-on experience before attempting the exam. Candidates who invest time in study materials and practice exams typically perform best.

FAQ

AWS Certified DevOps Engineer - Professional FAQs

Common questions about the DOP-C02 certification exam

The AWS Certified DevOps Engineer - Professional is a professional certification offered by Amazon Web Services (AWS) that validates your expertise in the relevant technology domain. The exam code is DOP-C02. This certification demonstrates your ability to design, implement, and manage solutions using Amazon Web Services (AWS) technologies.

The AWS Certified DevOps Engineer - Professional exam typically contains 75 questions. These questions are a mix of multiple-choice and scenario-based questions designed to test both theoretical knowledge and practical application.

The passing score for the AWS Certified DevOps Engineer - Professional exam is 750/1000. Note that Amazon Web Services (AWS) uses a scaled scoring system, so focus on understanding all exam domains thoroughly rather than just achieving the minimum score.

The AWS Certified DevOps Engineer - Professional exam duration is 180 minutes (3 hours). This includes time for reviewing your answers. We recommend practicing with timed mock exams to manage your time effectively.

The AWS Certified DevOps Engineer - Professional exam costs $300. Prices may vary by region and are subject to change. Amazon Web Services (AWS) occasionally offers discounts or voucher programs for certification exams.

The AWS Certified DevOps Engineer - Professional certification is valid for 3 years. To maintain your certification, you'll need to recertify before it expires, either by passing the current exam version or through Amazon Web Services (AWS)'s continuing education program.

While Amazon Web Services (AWS) doesn't always require formal prerequisites, we recommend having hands-on experience with the relevant technologies. Familiarity with core concepts and practical experience will significantly improve your chances of passing the exam.

Yes, the AWS Certified DevOps Engineer - Professional exam is proctored and can be taken either at a testing center or online through remote proctoring. Online proctoring allows you to take the exam from home while being monitored via webcam. Ensure you have a quiet, private space with a stable internet connection if choosing the online option.

If you don't pass the AWS Certified DevOps Engineer - Professional exam on your first attempt, you can retake it. Amazon Web Services (AWS) typically has a waiting period between attempts (usually 14 days for the first retake). Use this time to review the areas where you struggled and take additional practice exams.

To prepare for the AWS Certified DevOps Engineer - Professional exam, we recommend: 1) Review the official exam guide and objectives, 2) Gain hands-on experience with the technologies, 3) Use practice exams to identify knowledge gaps, 4) Study each exam domain thoroughly, and 5) Join study groups or forums to discuss challenging topics with other candidates.

Sources

About the AWS Certified DevOps Engineer - Professional Certification

The AWS Certified DevOps Engineer - Professional (DOP-C02) is a professional-level certification offered by Amazon Web Services (AWS). This certification validates your expertise in devops and is recognized globally by employers seeking qualified professionals. The exam consists of 75 questions to be completed in 180 minutes, with a passing score of 750/1000. The exam fee is $300, and the certification is valid for 3 years.

Why Get AWS Certified DevOps Engineer - Professional Certified?

  • Career Advancement: Certified professionals earn an average of $155,000 per year. Amazon Web Services (AWS)-certified professionals are among the most sought-after in the devops industry.
  • Industry Recognition: Amazon Web Services (AWS) certifications are respected worldwide by employers, demonstrating verified competency in devops technologies and practices.
  • Skill Validation: The AWS Certified DevOps Engineer - Professional exam rigorously tests your knowledge across 6 domains, ensuring you have the practical skills employers demand.

AWS Certified DevOps Engineer - Professional Exam Format & Details

The DOP-C02 exam is designed to test both theoretical knowledge and practical application. Candidates are given 180 minutes to complete the exam, which contains approximately 75 questions. A score of 750/1000 is required to pass. As a professional-level exam, it requires significant hands-on experience and deep technical knowledge.

Exam Domains & Topics

The AWS Certified DevOps Engineer - Professional exam covers 6 key domains. Understanding the weight of each domain helps you allocate your study time effectively:

  • 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)

Who Should Take the AWS Certified DevOps Engineer - Professional Exam?

This certification is designed for professionals in the following roles:

  • IT professionals seeking Amazon Web Services (AWS) expertise
  • DevOps practitioners looking to validate their skills
  • Professionals preparing for a career in devops
  • Technical specialists aiming to advance their career with an industry-recognized credential
  • Team leads and managers who need to understand devops concepts

Career Opportunities & Salary

Earning the AWS Certified DevOps Engineer - Professional certification opens doors to roles such as DevOps Engineer, Site Reliability Engineer, Platform Engineer. Certified professionals earn an average salary of $155,000 per year, reflecting the high demand for devops skills in today's job market.

Recertification & Renewal

The AWS Certified DevOps Engineer - Professional certification is valid for 3 years. To maintain your credential, you will need to meet Amazon Web Services (AWS)'s renewal requirements before your certification expires. This may include earning continuing education credits, passing a recertification exam, or earning a higher-level certification.

Exam Registration & Cost

The DOP-C02 exam costs $300. You can register through Amazon Web Services (AWS)'s official website or an authorized testing center. Most candidates choose between in-person testing at a Pearson VUE or PSI center and online proctored exams taken from home. Be sure to review the exam policies, including identification requirements and prohibited items, before your test date.

How to Prepare for DOP-C02

Most candidates need 4-8 weeks of dedicated study to prepare for the AWS Certified DevOps Engineer - Professional exam. Start by reviewing the official exam objectives, then work through each domain systematically. Regular practice with exam-style questions is essential for building confidence and identifying weak areas. Combine reading with hands-on practice to develop both theoretical knowledge and practical skills.

HydraNode publishes 410 free DOP-C02 practice questions with answers and explanations, plus a timed practice exam drawn from the same bank. Every question is written to the published objectives, so what you practise matches the format and difficulty of the actual DOP-C02 exam.