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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Monitoring and Logging	12%	- Design and implement alerting and incident management 1. Design runbook automation 2. Implement automated incident response 3. Create alarm notification strategies - Design and implement monitoring and observability strategies 1. Design custom metrics and alarms (Amazon CloudWatch) 2. Implement log aggregation and analysis 3. Implement distributed tracing (AWS X-Ray)
Configuration Management and Infrastructure as Code	22%	- Design and implement data management strategies 1. Design backup and recovery solutions 2. Implement data lifecycle management 3. Implement database migration strategies - Design and implement infrastructure as code 1. Implement modular and reusable infrastructure components 2. Design for scalability and repeatability 3. Develop IaC templates (AWS CloudFormation, Terraform) - Design and implement configuration management 1. Design patch management strategies 2. Implement AWS Systems Manager for configuration management 3. Implement parameter management (AWS Parameter Store, Secrets Manager) - Implement compliance and configuration monitoring 1. Use AWS Config for compliance monitoring 2. Design remediation automation 3. Implement AWS CloudTrail for auditing
Incident and Event Response	18%	- Design and implement event and incident management 1. Implement automated incident detection 2. Design event aggregation and correlation 3. Implement automated response playbooks - Design and implement chaos engineering practices 1. Implement fault injection experiments (AWS Fault Injection Simulator) 2. Design resilience testing strategies 3. Analyze system behavior under failure conditions
Policies and Standards Automation	10%	- Design and implement preventive and detective controls 1. Implement drift detection and remediation 2. Design and implement security baselines 3. Implement AWS Organizations and SCPs - Design and implement governance strategies 1. Implement tagging policies and resource grouping 2. Design cost optimization through policies 3. Implement approval workflows and automation
High Availability and Disaster Recovery	16%	- Implement data backup and restore strategies 1. Design point-in-time recovery solutions 2. Implement cross-region replication 3. Implement validation testing for backups - Design and implement disaster recovery strategies 1. Design RTO and RPO based DR solutions 2. Implement backup and restore mechanisms 3. Implement multi-region active-active architectures 4. Implement pilot light and warm standby architectures - Design and implement high availability and scalability 1. Implement auto scaling strategies 2. Implement load balancing and traffic management 3. Design multi-AZ and multi-region architectures
SDLC Automation	22%	- Design and implement CI/CD pipelines 1. Develop CI/CD pipelines considering testing and security requirements 2. Design failure handling strategies 3. Implement deployment strategies (blue-green, canary, rolling) 4. Determine appropriate CI/CD pipeline architecture - Design build and test environments 1. Integrate security scanning and compliance checks 2. Implement build environments (isolated, reproducible) 3. Design test automation frameworks - Design and implement source code management strategies 1. Design code review and approval processes 2. Determine branching strategies 3. Implement repository configurations and hooks

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q397-Q402):

NEW QUESTION # 397
A company has an on-premises application that is written in Go. A DevOps engineer must move the application to AWS. The company's development team wants to enable blue/green deployments and perform A/B testing.
Which solution will meet these requirements?

A. Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.
B. Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.
C. Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.
D. Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.

Answer: D

Explanation:
Explanation
https://aws.amazon.com/quickstart/architecture/blue-green-deployment/

NEW QUESTION # 398
A company uses AWS CloudFormation stacks to deploy updates to its application. The stacks consist of different resources. The resources include AWS Auto Scaling groups, Amazon EC2 instances, Application Load Balancers (ALBs), and other resources that are necessary to launch and maintain independent stacks. Changes to application resources outside of CloudFormation stack updates are not allowed.
The company recently attempted to update the application stack by using the AWS CLI. The stack failed to update and produced the following error message: "ERROR: both the deployment and the CloudFormation stack rollback failed. The deployment failed because the following resource(s) failed to update: [AutoScalingGroup]." The stack remains in a status of UPDATE_ROLLBACK_FAILED. * Which solution will resolve this issue?

A. Submit a request for a quota increase for the number of EC2 instances for the account. Run the aws cloudformation cancel-update-stack AWS CLI command.
B. Update the subnet mappings that are configured for the ALBs. Run the aws cloudformation update-stack-set AWS CLI command.
C. Update the 1AM role by providing the necessary permissions to update the stack. Run the aws cloudformation continue-update-rollback AWS CLI command.
D. Delete the Auto Scaling group resource. Run the aws cloudformation rollback-stack AWS CLI command.

Answer: C

NEW QUESTION # 399
A company uses an AWS CodeCommit repository to store its source code and corresponding unit tests. The company has configured an AWS CodePipeline pipeline that includes an AWS CodeBuild project that runs when code is merged to the main branch of the repository.
The company wants the CodeBuild project to run the unit tests. If the unit tests pass, the CodeBuild project must tag the most recent commit.
How should the company configure the CodeBuild project to meet these requirements?

A. Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project lo run the unit tests. Configure the project to use AWS CLI commands to create a new Git tag in the repository if the code passes the unit tests.
B. Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.
C. Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use native Git to create a tag and to push the Git tag to the repository if the code passes the unit tests.
D. Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.

Answer: C

Explanation:
Step 1: Using Native Git in CodeBuildTo meet the requirement of running unit tests and tagging the most recent commit if the tests pass, the CodeBuild project should be configured to use native Git to clone the CodeCommit repository. Native Git support allows full functionality for managing the repository, including the ability to create and push tags.
Action: Configure the CodeBuild project to use native Git to clone the repository and run the tests.
Why: Using native Git provides flexibility for managing tags and other repository operations after the tests are successfully executed.
Step 2: Tagging the Most Recent CommitOnce the unit tests pass, the CodeBuild project can use native Git to create a tag for the most recent commit and push that tag to the repository. This ensures that the tagged commit is linked to the test results.
Action: Configure the project to use native Git to create and push a tag to the repository if the tests pass.
Why: This ensures the correct commit is tagged automatically, streamlining the workflow.
Reference:
This corresponds to Option A: Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use native Git to create a tag and to push the Git tag to the repository if the code passes the unit tests.

NEW QUESTION # 400
A company has implemented a new microservices-based application on an Amazon Elastic Container Service (Amazon ECS) cluster. After each deployment, the company wants to validate the critical user journeys and API endpoints before routing traffic to the new application version.
The company must implement an automated solution to detect issues in the new deployment and to initiate a rollback if necessary.
Which solution will meet these requirements with the LEAST operational overhead ?

A. Set up Amazon CloudWatch Application Insights for the ECS cluster. Create an Amazon EventBridge rule to invoke an AWS Lambda function to analyze the task states. Program the Lambda function to use the ECS UpdateService API call to initiate a rollback if a specific percentage of tasks fail.
B. Create CloudWatch Synthetics canaries that simulate critical user journeys and API calls. Implement AWS X-Ray tracing for all the microservices. Configure X-Ray to send traces to CloudWatch. Create CloudWatch alarms based on error rates and latency metrics. Create a Lambda function to analyze the traces and to initiate a rollback if necessary by using the alarms ' built-in integration with Amazon ECS.
C. Set up Amazon CloudWatch Application Insights for the ECS cluster. Configure Application Insights to monitor key performance indicators of the microservices in the critical user journeys and API calls. Create CloudWatch alarms based on the insights. Use EventBridge to invoke an AWS Step Functions workflow to evaluate the alarms. Configure the workflow to initiate a rollback if necessary by using the alarms ' built-in integration with Amazon ECS.
D. Create CloudWatch Synthetics canaries that simulate critical user journeys and API calls. Configure the canaries to run against the new deployment. Create CloudWatch alarms that are invoked when canaries fail. Use the alarms ' built-in integration with Amazon ECS to initiate a rollback if the alarms are invoked before traffic is routed to the new deployment.

Answer: D

Explanation:
The requirement is specifically to validate critical user journeys and API endpoints after each deployment and before routing traffic . The most direct AWS-native way to test "real" user flows and endpoints automatically is CloudWatch Synthetics canaries , which can run scripted checks (HTTP/API and browser- style journeys).
Option D minimizes operational overhead because it uses a straightforward managed pattern:
* Canaries run against the new deployment to validate endpoints and journeys.
* CloudWatch alarms trigger when the canaries fail (objective signal of broken journeys/APIs).
* The solution then uses alarm-driven rollback (the intent here is automated rollback without writing custom analysis code or managing multi-service workflows).
Why the other options have more overhead or miss the "user journey/API validation" goal as cleanly:
* A focuses on ECS task states (healthy/unhealthy tasks). That can detect deployment failures, but it doesn't validate critical user journeys or API correctness . Also requires custom Lambda logic for analysis + rollback control.
* B adds even more moving parts (Application Insights + alarms + EventBridge + Step Functions). Also, monitoring KPIs is not the same as explicitly validating journeys/endpoints before routing traffic .
* C is the highest overhead: canaries plus X-Ray instrumentation across all microservices, trace exporting, custom Lambda analysis, etc. That's heavy compared to canary + alarm.
So D best matches: "validate journeys/endpoints" + "automated detect + rollback" with least operational overhead by relying on managed canaries and alarms rather than custom code/workflows.

NEW QUESTION # 401
A company has multiple development teams in different business units that work in a shared single AWS account All Amazon EC2 resources that are created in the account must include tags that specify who created the resources. The tagging must occur within the first hour of resource creation.
A DevOps engineer needs to add tags to the created resources that Include the user ID that created the resource and the cost center ID The DevOps engineer configures an AWS Lambda Function with the cost center mappings to tag the resources. The DevOps engineer also sets up AWS CloudTrail in the AWS account. An Amazon S3 bucket stores the CloudTrail event logs Which solution will meet the tagging requirements?

A. Create an Amazon EventBridge rule that uses Amazon EC2 as the event source. Configure the rule to match events delivered by CloudTraiI. Configure the rule to target the Lambda function
B. Create a recurring hourly Amazon EventBridge scheduled rule that invokes the Larnbda function.
Modify the Lambda function to read the logs from the S3 bucket
C. Enable server access logging on the S3 bucket. Create an S3 event notification on the S3 bucket for s3.
ObjectTaggIng.* events
D. Create an S3 event notification on the S3 bucket to invoke the Lambda function for s3. ObJectTagging:
Put events. Enable bucket versioning on the S3 bucket.

Answer: C

NEW QUESTION # 402
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