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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: High Availability and Disaster Recovery	16%	- Design and implement high availability and scalability 1. Design multi-AZ and multi-region architectures 2. Implement load balancing and traffic management 3. Implement auto scaling strategies - Design and implement disaster recovery strategies 1. Design RTO and RPO based DR solutions 2. Implement multi-region active-active architectures 3. Implement backup and restore mechanisms 4. Implement pilot light and warm standby architectures - Implement data backup and restore strategies 1. Implement cross-region replication 2. Design point-in-time recovery solutions 3. Implement validation testing for backups
Topic 2: SDLC Automation	22%	- Design build and test environments 1. Implement build environments (isolated, reproducible) 2. Integrate security scanning and compliance checks 3. Design test automation frameworks - Design and implement source code management strategies 1. Determine branching strategies 2. Design code review and approval processes 3. Implement repository configurations and hooks - Design and implement CI/CD pipelines 1. Design failure handling strategies 2. Determine appropriate CI/CD pipeline architecture 3. Develop CI/CD pipelines considering testing and security requirements 4. Implement deployment strategies (blue-green, canary, rolling)
Topic 3: Policies and Standards Automation	10%	- Design and implement governance strategies 1. Implement approval workflows and automation 2. Implement tagging policies and resource grouping 3. Design cost optimization through policies - Design and implement preventive and detective controls 1. Design and implement security baselines 2. Implement drift detection and remediation 3. Implement AWS Organizations and SCPs
Topic 4: 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. Analyze system behavior under failure conditions 2. Design resilience testing strategies 3. Implement fault injection experiments (AWS Fault Injection Simulator)
Topic 5: Configuration Management and Infrastructure as Code	22%	- Design and implement infrastructure as code 1. Implement modular and reusable infrastructure components 2. Develop IaC templates (AWS CloudFormation, Terraform) 3. Design for scalability and repeatability - Design and implement configuration management 1. Implement AWS Systems Manager for configuration management 2. Implement parameter management (AWS Parameter Store, Secrets Manager) 3. Design patch management strategies - Design and implement data management strategies 1. Design backup and recovery solutions 2. Implement database migration strategies 3. Implement data lifecycle management - Implement compliance and configuration monitoring 1. Design remediation automation 2. Implement AWS CloudTrail for auditing 3. Use AWS Config for compliance monitoring
Topic 6: Monitoring and Logging	12%	- Design and implement monitoring and observability strategies 1. Implement distributed tracing (AWS X-Ray) 2. Design custom metrics and alarms (Amazon CloudWatch) 3. Implement log aggregation and analysis - Design and implement alerting and incident management 1. Implement automated incident response 2. Design runbook automation 3. Create alarm notification strategies

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q70-Q75):

NEW QUESTION # 70
A DevOps engineer needs to implement integration tests into an existing AWS CodePipelme CI/CD workflow for an Amazon Elastic Container Service (Amazon ECS) service. The CI/CD workflow retrieves new application code from an AWS CodeCommit repository and builds a container image. The CI/CD workflow then uploads the container image to Amazon Elastic Container Registry (Amazon ECR) with a new image tag version.
The integration tests must ensure that new versions of the service endpoint are reachable and that vanous API methods return successful response data The DevOps engineer has already created an ECS cluster to test the service Which combination of steps will meet these requirements with the LEAST management overhead? (Select THREE.)

A. Add a deploy stage to the pipeline Configure AWS CodeDeploy as the action provider
B. Create an AWS Lambda function that runs connectivity checks and API calls against the service.
Integrate the Lambda function with CodePipeline by using aLambda action stage
C. Add a deploy stage to the pipeline Configure Amazon ECS as the action provider
D. Add an appspec.yml file to the CodeCommit repository
E. Write a script that runs integration tests against the service. Upload the script to an Amazon S3 bucket.Integrate the script in the S3 bucket with CodePipeline by using an S3 action stage.
F. Update the image build pipeline stage to output an imagedefinitions json file that references the new image tag.

Answer: B,C,F

Explanation:
Add a Deploy Stage to the Pipeline, Configure Amazon ECS as the Action Provider:
* By adding a deploy stage to the pipeline and configuring Amazon ECS as the action provider, the pipeline can automatically deploy the new container image to the ECS cluster.
* This ensures that the service is updated with the new image tag, making the new version of the service endpoint reachable.

NEW QUESTION # 71
A DevOps engineer maintains a web application that is deployed on an Amazon Elastic Container Service (Amazon ECS) service behind an Application Load Balancer (ALB).
Recent updates to the service caused downtime for the application because of issues with the application code.
The DevOps engineer needs to design a solution to test updates on a small amount of traffic first before deploying to the rest of the service.
Which solution will meet these requirements?

A. Create a new AWS CodeBuild project. Connect the project to an AWS CodeConnections compatible Git repository. Create a buildspec.yml file in the Git repository that contains commands to call the Amazon ECS UpdateService API. Set a slow start duration of 2 minutes on the ALB target group.
B. Update the ECS service to use AWS CodeDeploy as the deployment controller. Create a second target group for the ALB. Create a CodeDeploy application and deployment group for the application. Use CodeDeploy to deploy updates by using the CodeDeployDefault.ECSCanary10Percent15Minutes deployment configuration.
C. Create a new pipeline in AWS CodePipeline. Connect the pipeline to an AWS CodeConnections compatible Git repository. Configure the pipeline with an ECRBuildAndPublish action and an Amazon ECS standard deployment action. Configure the ECS service to use the rolling update deployment type.
D. Create a new AWS CodeBuild project that uses AWS Lambda compute and that includes an IAM role that has permissions to update the ECS task definition. Update the project buildspec file to call the Amazon ECS RegisterTaskDefinition API for deployments. Configure the ECS service to use the rolling update deployment type.

Answer: B

Explanation:
The key requirement is to shift a small percentage of traffic to a new version first to validate changes before rolling out to the entire ECS service, thereby reducing downtime and deployment risk. For ECS services behind an Application Load Balancer, the AWS-recommended and most reliable approach is to use AWS CodeDeploy with blue/green or canary deployments.
Option B directly addresses this requirement. By configuring the ECS service to use CodeDeploy as the deployment controller, CodeDeploy can manage traffic shifting between two ALB target groups: one for the current (stable) version and one for the new version. The CodeDeployDefault.
ECSCanary10Percent15Minutes deployment configuration initially routes 10% of production traffic to the new task set, monitors the deployment for issues, and then shifts the remaining traffic after the defined interval. This enables early detection of application errors while limiting user impact.
Option A and C rely on rolling updates, which replace tasks incrementally but do not provide precise traffic control or automated rollback based on health checks. Option D's slow start setting only affects how quickly targets receive traffic after registration and does not implement true canary testing.
Therefore, using AWS CodeDeploy with ECS canary deployments is the most robust, AWS-supported solution to test changes safely before full rollout.

NEW QUESTION # 72
A company is storing 100 GB of log data in .csv format in an Amazon S3 bucket. SQL developers want to query this data and generate graphs to visualize it. The SQL developers also need an efficient, automated way to store metadata from the .csv file. Which combination of steps will meet these requirements with the LEAST amount of effort? (Select THREE.)

A. Use the AWS Glue Data Catalog as the persistent metadata store.
B. Filter the data through Amazon QuickSight to visualize the data.
C. Query the data with Amazon Athena.
D. Use Amazon DynamoDB as the persistent metadata store.
E. Filter the data through AWS X-Ray to visualize the data.
F. Query the data with Amazon Redshift.

Answer: B,C,D

NEW QUESTION # 73
A company has multiple accounts in an organization in AWS Organizations. The company's SecOps team needs to receive an Amazon Simple Notification Service (Amazon SNS) notification if any account in the organization turns off the Block Public Access feature on an Amazon S3 bucket. A DevOps engineer must implement this change without affecting the operation of any AWS accounts. The implementation must ensure that individual member accounts in the organization cannot turn off the notification.
Which solution will meet these requirements?

A. Create an AWS CloudFormation template that creates an SNS topic and subscribes the SecOps team's email address to the SNS topic. In the template, include an Amazon EventBridge rule that uses an event pattern of CloudTrail activity for s3:PutBucketPublicAccessBlock and a target of the SNS topic. Deploy the stack to every account in the organization by using CloudFormation StackSets.
B. Designate an account to be the delegated Amazon GuardDuty administrator account. Turn on GuardDuty for all accounts across the organization. In the GuardDuty administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for GuardDuty findings and a target of the SNS topic.
C. Turn on AWS Config across the organization. In the delegated administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. Deploy a conformance pack that uses the s3-bucket-level-public-access-prohibited AWS Config managed rule in each account and uses an AWS Systems Manager document to publish an event to the SNS topic to notify the SecOps team.
D. Turn on Amazon Inspector across the organization. In the Amazon Inspector delegated administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for public network exposure of the S3 bucket and publishes an event to the SNS topic to notify the SecOps team.

Answer: C

Explanation:
Amazon GuardDuty is primarily on threat detection and response, not configuration monitoring A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations. https://docs.aws.amazon.com/config/latest/developerguide/conformance-packs.html
https://docs.aws.amazon.com/config/latest/developerguide/s3-account-level-public-access-blocks.html

NEW QUESTION # 74
A DevOps engineer is supporting early-stage development for a developer platform running on Amazon EKS. Recently, the platform has experienced an increased rate of container restart failures. The DevOps engineer wants diagnostic information to isolate and resolve issues.
Which solution will meet this requirement?

A. Configure AWS CloudTrail for the EKS cluster.
B. Configure CloudTrail Insights for the EKS cluster.
C. Configure CloudWatch dashboards using default EKS service metrics.
D. Configure Amazon CloudWatch Container Insights for the EKS cluster by enabling the CloudWatch Observability add-on.

Answer: D

Explanation:
Comprehensive & Detailed Explanation (150-250 words):
Container restart failures require detailed observability into pod-level, node-level, and container-level metrics and logs. CloudWatch Container Insights is purpose-built for Kubernetes operational diagnostics and provides granular visibility into CPU, memory, network I/O, disk I/O, container restarts, OOM kills, throttling, pod lifecycle issues, and Kubernetes control plane behaviors.
The CloudWatch Observability add-on deploys Fluent Bit and the CloudWatch Agent directly into the EKS cluster as DaemonSets. These components automatically collect:
Container logs
Pod metrics
Node metrics
Cluster events
OOM errors
CrashLoopBackOff restart cycles
Control plane request anomalies
With this data, the DevOps engineer can easily identify misconfigurations, resource bottlenecks, unhealthy nodes, failing containers, or image pull issues.
Option A (dashboards only) lacks per-container diagnostic data.
Option B (CloudTrail) only logs API calls - not useful for restart debugging.
Option C (CloudTrail Insights) only detects anomalous API usage, not container failures.
Therefore, CloudWatch Container Insights is the correct and AWS-recommended solution for diagnosing container restart failures in EKS.

NEW QUESTION # 75
......

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