Amazon DOP-C02 AWS DevOps Engineer Professional (DOP-C02) Free Practice Test — 30 Questions
This practice bank exercises your ability to design and implement secure, scalable, and highly available DevOps solutions on AWS. You will be tested on selecting the right combination of AWS services (e.g., CDK, Systems Manager, ECS, EKS, CloudTrail, CodeDeploy, X-Ray) and configurations to meet requirements while adhering to principles like least privilege, cost efficiency, and automation. The questions assess your understanding of infrastructure as code, CI/CD pipelines, monitoring, logging, scaling, and performance optimization. By working through these scenarios, you will build the decision-making skills needed to architect resilient, automated environments that align with AWS Well-Architected best practices.
What this DOP-C02 practice set measures
This is an analysis of the practice bank, not a claim about the vendor's live exam blueprint. Use it to identify the knowledge, judgment, and recall patterns exercised here, then verify your coverage against the current official exam guide.
Infrastructure as Code and Configuration Management
The practice bank emphasizes using AWS CDK, CloudFormation, and Systems Manager to manage infrastructure and configurations declaratively. You must understand how to apply least-privilege IAM roles, use hierarchical naming in Parameter Store, leverage DependsOn for resource ordering, and enforce compliance via State Manager and Patch Manager. These questions test your ability to write reusable, environment-aware templates and automate consistent configurations across multi-region fleets.
- Use CDK to create Lambda functions with dedicated IAM roles that grant minimal required permissions.
- Implement hierarchical parameter paths in Systems Manager Parameter Store to separate environment configurations.
- Apply the DependsOn attribute in CloudFormation to enforce creation order and prevent race conditions.
- Use Systems Manager Inventory to collect instance metadata and evaluate compliance against policies.
Scaling and Load Balancing
Scenarios in this section test your ability to configure Auto Scaling groups, Horizontal Pod Autoscaling (HPA) in EKS, and Application Load Balancers (ALB) to handle variable traffic while maintaining cost efficiency. You must calculate required instance counts, understand scaling policies, and select the right combination of services (e.g., CloudWatch, ALB, Fargate) to achieve high availability and responsiveness. The practice bank includes quantitative questions on CPU utilization, replica scaling, and peak load handling.
- Configure Auto Scaling with CloudWatch alarms based on CPU utilization thresholds and cooldown periods.
- Use Horizontal Pod Autoscaling in EKS with target average CPU utilization to dynamically adjust replica count.
- Calculate minimum instance count by dividing total peak RPS by per-instance capacity and distributing across AZs.
- Select Application Load Balancer over Network Load Balancer when layer 7 routing and advanced traffic management are needed.
Security, Logging, and Monitoring
This section focuses on protecting logs, managing secrets, and gaining observability. Questions cover S3 Object Lock in compliance mode to prevent log tampering, using AWS Secrets Manager with automatic rotation and IAM policies for environment separation, and enabling AWS X-Ray tracing on both API Gateway and Lambda functions to diagnose latency. You must also understand CloudTrail, CloudWatch Logs, and AWS Chatbot configurations for command processing. The emphasis is on proactive security and comprehensive monitoring.
- Enable S3 Object Lock in compliance mode to guarantee immutability of CloudTrail logs.
- Store secrets per environment in AWS Secrets Manager with automatic rotation and environment-scoped IAM policies.
- Enable tracing on both API Gateway and Lambda functions in X-Ray to capture full request lifecycle.
- Configure AWS Chatbot with appropriate IAM roles so it can read resources and respond to commands in Slack.
CI/CD, Deployment, and Workflow Orchestration
You are tested on designing effective build specifications (order: install dependencies, test, build Docker images, push to ECR, deploy to EKS) and deployment strategies like blue/green with automatic rollback in CodeDeploy. The practice bank also covers AWS Step Functions retry/catch patterns for fault‑tolerant workflows, and GitHub webhooks integrated with Jenkins for commit‑triggered builds. Questions require you to select the architecture that ensures only validated code is deployed, with manual approval gates where needed.
- Structure build spec to run unit tests before building Docker images to catch errors early.
- Use blue/green deployments in CodeDeploy to minimize downtime and enable automatic rollback.
- Add Retry and Catch fields in Step Functions state definitions to handle failures with up to 3 retries and error logging.
- Configure a GitHub webhook to trigger a Jenkins job that runs tests and then deploys on success.
Practice Amazon DOP-C02 AWS DevOps Engineer Professional (DOP-C02) with real flashcards
Read the prompt, commit to an answer, then flip the card. Move through the deck at your own pace and repeat any topic that does not come back quickly.
Card 1 of 20
1 reviewed this session
Static practice bank
Start the 30-question diagnostic
The complete question bank is embedded in this pre-rendered page. There is no database request or second content download when you begin.
In a scenario where a company is using AWS CDK to deploy a serverless application, the development team needs to create a Lambda function that processes incoming data from an S3 bucket. They want to ensure that the Lambda function has the necessary permissions to read from the S3 bucket and log its activities to CloudWatch. Which of the following approaches would best achieve this while adhering to the principle of least privilege?
Study workflow
Turn one DOP-C02 attempt into a study plan
- 1
Design IAM Roles with Least Privilege
When creating a Lambda or ECS task, first define a custom IAM role that grants only the actions and resources needed (e.g., specific S3 bucket, CloudWatch logs). Attach this role to the resource in your IaC template. Avoid using managed policies that are overly permissive.
- 2
Implement Multi-Environment Parameter Organization
Use a hierarchical path structure in AWS Systems Manager Parameter Store (e.g., /dev/db/connectionString, /prod/db/connectionString). This keeps configurations isolated and reduces the risk of misconfiguration. Access control can be applied at the path level via IAM policies.
- 3
Configure Auto Scaling with Cooldowns and Metrics
Set up CloudWatch alarms based on average CPU utilization (e.g., >70% for 5 minutes) to trigger scale-out. Use a cooldown period (default 300 seconds) to prevent rapid fluctuations. For Fargate/ECS, use target tracking scaling policies for simplicity.
- 4
Secure CloudTrail Logs with Object Lock
Create an S3 bucket with Object Lock enabled in compliance mode. Set retention period (e.g., 1 year). Configure CloudTrail to deliver logs to this bucket. This prevents any user or process from deleting or overwriting log files, ensuring integrity.
- 5
Set Up CI/CD with Manual Approval Gate
In CodePipeline, after a successful test stage, add a manual approval action before the deploy stage. Require an authorized user to approve. If tests fail, the pipeline stops automatically. This ensures only quality code reaches production.
FAQ
Questions about this DOP-C02 practice page
Clear boundaries on what the bank covers, how to use it, and where official vendor information still matters.
How does AWS Systems Manager Inventory help with compliance validation?+
Systems Manager Inventory collects metadata (installed software, OS patches, configuration items) from EC2 instances. This data can be queried to generate reports that compare current state against defined compliance policies, enabling automated validation without manual checks.
What is the difference between a blue/green deployment and a rolling update in AWS CodeDeploy?+
Blue/green deploys a new environment (green) alongside the current live environment (blue). After validation, traffic is switched, enabling instant rollback. Rolling updates gradually replace instances in the existing environment, which reduces capacity during the process but doesn't require doubling resources.
How can I ensure that an ECS service scales efficiently without over-provisioning?+
Use target tracking scaling policies with a predefined metric like average CPU or memory utilization. Set a target value (e.g., 70%). ECS automatically adjusts the desired count. Combine with step scaling for faster response to traffic spikes.
When using AWS X-Ray, why should I enable tracing on both API Gateway and Lambda?+
Enabling tracing on both allows X-Ray to stitch together the entire request path. You can see time spent in API Gateway, Lambda execution, and downstream calls. Without Lambda tracing, you lose visibility into the backend processing time, which is critical for diagnosing latency.
What is the recommended way to manage database credentials across different environments on AWS?+
Store each environment's credentials as a separate secret in AWS Secrets Manager with a naming convention like dev/db/password, prod/db/password. Enable automatic rotation. Use IAM policies to restrict access per secret path. This minimizes blast radius and ensures compliance.
Build the next review session
Browse another free bank or use the study strategy guide to turn your misses into spaced review.