AWS · DOP-C02
Validates technical expertise in provisioning, operating, and managing distributed systems and services on AWS, including CI/CD, security controls, monitoring, and highly available systems.
Practice Questions
436
≈ 6 practice exams
Duration
180 minutes
Passing Score
750/1000
Difficulty
ProfessionalLast Updated
Jan 2025
Use this DOP-C02 practice exam to prepare for AWS Certified DevOps Engineer - Professional (DOP-C02) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 436 questions for AWS DOP-C02, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as SDLC Automation, Configuration Management and IaC, Resilient Cloud Solutions, Monitoring and Logging, and Incident and Event Response. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
The AWS Certified DevOps Engineer – Professional (DOP-C02) is a professional-level credential that validates deep technical expertise in provisioning, operating, and managing distributed systems and services on AWS. It covers the full spectrum of DevOps practices on the AWS platform, including the design and implementation of continuous integration and continuous delivery (CI/CD) pipelines, infrastructure automation using tools like AWS CloudFormation and AWS CDK, and the enforcement of security controls and compliance frameworks across cloud environments. The exam also tests proficiency in building self-healing, highly available, and scalable architectures using AWS-native services such as Auto Scaling, Elastic Load Balancing, and AWS Fault Injection Simulator.
First launched as DOP-C01 and updated to DOP-C02, the current version reflects modern DevOps practices with increased emphasis on resilience engineering, observability, and automated security governance. Candidates must demonstrate competency across six weighted domains: SDLC Automation (22%), Configuration Management and IaC (17%), Security and Compliance (17%), Resilient Cloud Solutions (15%), Monitoring and Logging (15%), and Incident and Event Response (14%). This breadth makes it one of the most comprehensive AWS professional certifications available.
This certification is designed for experienced cloud practitioners who actively perform DevOps engineering functions in AWS environments. Ideal candidates include DevOps engineers, cloud platform engineers, site reliability engineers (SREs), and cloud infrastructure architects with at least two years of hands-on experience provisioning, operating, and managing AWS-based systems. Professionals who work on CI/CD pipeline design, infrastructure-as-code authoring, monitoring strategy, and cloud security automation will find the exam objectives directly aligned with their daily responsibilities.
The exam is also well-suited for software developers transitioning into platform or operations roles who have substantial AWS experience and scripting or programming skills. Candidates pursuing senior or lead DevOps positions—particularly in organizations that require formal AWS credentials for cloud infrastructure roles—will find this certification significantly strengthens their professional profile.
AWS does not enforce formal prerequisites, but strongly recommends that candidates have a minimum of two years of experience provisioning, operating, and managing AWS environments before attempting the exam. A working knowledge of software development lifecycle (SDLC) methodologies, modern development and operations practices, and at least one scripting or programming language (such as Python, Bash, or PowerShell) is expected. Familiarity with Linux/Unix and Windows system administration is also recommended.
While not required, holding an AWS Certified Developer – Associate or AWS Certified SysOps Administrator – Associate credential is a practical stepping stone, as those exams cover foundational AWS services that appear throughout the DOP-C02 domains. Candidates should have hands-on experience with AWS services including CodePipeline, CodeBuild, CodeDeploy, CloudFormation, Systems Manager, CloudWatch, AWS Config, and IAM before sitting for this exam.
The DOP-C02 exam consists of 75 total questions: 65 scored questions that affect the final result and 10 unscored pretest questions that AWS uses for future exam development and are not identified during the exam. Questions are presented in two formats—multiple choice (one correct answer from four options) and multiple response (two or more correct answers from five or more options). The exam is administered over 180 minutes.
Scoring uses a compensatory model on a scale of 100–1,000, with a minimum passing score of 750. This means candidates do not need to achieve a passing threshold in each individual domain; overall performance determines the outcome. Unanswered questions are scored as incorrect, so guessing carries no additional penalty. The exam is delivered through Pearson VUE, either at an authorized testing center or via online proctoring, and is available in English, Japanese, Korean, and Simplified Chinese. The exam fee is $300 USD. AWS certifications remain valid for three years.
The AWS Certified DevOps Engineer – Professional ranks among the top 20 highest-paying IT certifications in North America according to Skillsoft's IT Skills and Salary Report, reflecting strong market demand for professionals who can automate, secure, and operate cloud infrastructure at scale. In the United States, AWS DevOps engineers earn average salaries of approximately $135,000–$145,000 annually, with experienced professionals at senior levels reporting compensation above $150,000. Many organizations in finance, healthcare, retail, and technology explicitly list this certification as a preferred or required qualification for senior DevOps, cloud platform, and SRE roles.
Holding the DOP-C02 credential positions professionals for roles including Senior DevOps Engineer, Cloud Platform Engineer, Site Reliability Engineer, Release Engineering Lead, and Cloud Infrastructure Architect. Compared to associate-level AWS certifications, the professional designation signals the ability to architect complete DevOps systems—not just operate within them—which meaningfully expands role eligibility and negotiating leverage. Demand for certified DevOps engineers on AWS is projected to grow substantially as organizations accelerate cloud adoption and prioritize automated governance and security practices.
5 sample questions with answers and explanations. The full bank has 436 questions, enough for 6 full-length practice exams.
Preview — answers shown1. A global company uses ECS Fargate for their web platform, CloudFront for distribution, and WAF for security. WAF logs go to 'analytics-waf-logs' CloudWatch Log group. They need alerts for unusual blocked traffic patterns while ignoring other log changes, plus want to fine-tune WAF rules. Alerts should reach the DevOps engineer via SNS. What's the best solution?
Explanation
CloudWatch Logs metric filters combined with Anomaly Detection provides the ideal solution for detecting unusual patterns in WAF blocked traffic: First, a metric filter extracts specific data from the WAF logs. You define a filter pattern that matches blocked request entries in the log format. For each matching log entry, the filter increments a custom CloudWatch metric. This transforms unstructured log data into quantifiable metrics. CloudWatch Anomaly Detection then analyzes this custom metric using machine learning. It automatically learns the normal patterns of blocked traffic - hourly, daily, and weekly cycles. The ML model adapts to your specific traffic patterns without manual threshold configuration. When blocked traffic deviates significantly from learned patterns, the anomaly detector triggers. You create an alarm on this anomaly detection that sends notifications via SNS when unusual patterns occur. This catches both spikes and drops in blocked traffic that might indicate attacks or misconfigured rules. GuardDuty focuses on AWS account threats, not application-layer WAF events. EventBridge works with discrete events, not pattern analysis over time. LogAnomalyPriority is a generic log anomaly metric not specific to blocked traffic patterns - it would generate many false positives. This solution provides intelligent alerting that adapts to your normal traffic patterns, focusing specifically on blocked requests as required for WAF rule tuning.
2. A financial firm with an AWS Enterprise Support plan wants to automate their response to certain AWS Trusted Advisor checks. For example, if Trusted Advisor reports that an account is approaching a service limit, they want to automatically create a support case to request a limit increase. How can they programmatically access the Trusted Advisor check results to build this automation?
Explanation
The key to this question is knowing the prerequisites for programmatic access to Trusted Advisor. Why the AWS Support API approach is correct: The whitepaper explicitly states that customers with AWS Business or Enterprise support can access all Trusted Advisor checks and the Trusted Advisor APIs. The AWS Support API allows you to programmatically interact with AWS Support, which includes refreshing and retrieving the results of Trusted Advisor checks. This API access is what enables the creation of automated remediation workflows. Why other approaches are incorrect: Parsing weekly email notifications is brittle and not a reliable method for automation. Scraping the AWS Management Console is also brittle and not a recommended practice. The claim that API access is impossible is incorrect, as API access is available for customers on higher-tier support plans.
3. A team is designing a highly resilient application using a cell-based architecture. What is a key characteristic of a 'cell' in this architectural pattern?
Explanation
This question tests the definition of a specific, advanced architectural pattern mentioned in the whitepaper. Why this is correct: As described in the 'Advanced deployment strategies' section, a cell-based architecture segments a larger system into isolated, independently functioning replicas called cells. Each cell is a self-contained unit that can serve a portion of the user traffic. This isolation limits the 'blast radius' of a failure; if one cell fails, it does not impact the others. This pattern is used to build highly resilient, scalable systems. Why others are incorrect: Options A, B, and D do not accurately describe the concept of a cell in this context.
4. An online hospital records system runs on a fleet of Windows EC2 instances. A new compliance rule requires that all instances must be patched with the latest security updates and must only be launched from an approved 'golden' AMI. The development team, however, needs the flexibility to launch instances from unapproved AMIs for testing purposes, but any such non-compliant instances must be detected and reported. What combination of AWS services should be used to meet both the patching and AMI compliance requirements?
Explanation
This scenario requires two separate but related compliance controls: one for OS patching and one for AMI usage. The best solution uses the specific AWS service designed for each task. For automated OS patching, the correct service is AWS Systems Manager Patch Manager. You can create a patch baseline that defines which patches are approved (e.g., all critical security updates) and then use a Maintenance Window to apply these patches on a schedule. For auditing AMI usage, the correct service is AWS Config. It is designed to continuously monitor the configuration of your AWS resources. You can enable the approved-amis-by-id managed rule, provide it with your list of approved AMI IDs, and it will automatically flag any running EC2 instance that was not launched from one of those AMIs as 'non-compliant'. This provides the required detection and reporting without blocking developers from launching instances, thus meeting all requirements. A strict IAM policy would block the developers, which violates a requirement. GuardDuty and Shield are for threat detection and DDoS protection, respectively; they do not perform this type of configuration compliance checking.
5. During a tense code review meeting at 'CodeCrafters LLC', a disagreement about a design choice escalates, causing a delay in the release. The company wants to implement a mechanism for resolving such disputes constructively, where team members are encouraged to challenge decisions but must commit to the final outcome. Which mechanism, inspired by Toyota and Amazon, does the whitepaper suggest for this purpose?
Explanation
This question asks for a specific cultural mechanism for escalating and resolving issues. Why the Andon cord concept is correct: The whitepaper explicitly mentions the Andon cord concept as a way to help team members raise concerns and stop processes when problems arise. It serves as a mechanism for quick escalation to address problems effectively. It fosters a culture where it is safe to raise issues and encourages a structured, data-driven process for resolution, after which the team commits to the decision and moves forward. Why the other approaches are incorrect: The Two-Pizza Team rule is about team size. The Working Backwards process is a product development methodology. The Inverse Conway Maneuver is a principle relating organizational structure to system architecture.
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