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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q371-Q376):

NEW QUESTION # 371
A company has several AWS accounts. An Amazon Connect instance runs in each account. The company uses an Amazon EventBridge default event bus in each account for event handling.
A DevOps team needs to receive all the Amazon Connect events in a single DevOps account.
Which solution meets these requirements?

A. Update the resource-based policy of the default event bus in each account to allow the DevOps account to replay events. Configure an EventBridge rule in the DevOps account that matches Amazon Connect events and has a target of the default event bus in the other accounts.
B. Update the resource-based policy of the default event bus in the DevOps account. Update the policy to allow events to be received from the accounts. Configure an EventBridge rule in each account that matches Amazon Connect events and has a target of the DevOps account's default event bus.
C. Update the resource-based policy of the default event bus in the DevOps account. Update the policy to allow events to be replayed by the accounts. Configure an EventBridge rule in each account that matches Amazon Connect events and has a target of the DevOps account's default event bus.
D. Update the resource-based policy of the default event bus in each account to allow the DevOps account to receive events. Configure an EventBridge rule in the DevOps account that matches Amazon Connect events and has a target of the default event bus in the other accounts.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To aggregate events from multiple accounts into a single account, thedefault event bus in the receiving (DevOps) accountmust have a resource-based policy allowing the source accounts to put events into it.
Then, an EventBridgerule in each source accountroutes Amazon Connect events to thedefault event bus in the DevOps account(cross-account event delivery).
Options A and B describe policies or rules incorrectly applying permissions or routing. Option D mentions replay permissions, which are unrelated to event routing.
References:
EventBridge Cross-Account Event Delivery
Resource-Based Policies for Event Buses

NEW QUESTION # 372
A company uses an organization in AWS Organizations to manage multiple AWS accounts in multiple OUs. The company is planning to implement a comprehensive account management solution and wants to ensure consistent baseline configurations.
A DevOps engineer is developing a solution to automatically deploy AWS CloudFormation templates to new AWS accounts. The specific CloudFormation template that the solution deploys must vary based on which organizational unit (OU) each new account is placed in.
Which solution will meet these requirements with the LEAST operational overhead?

A. Store the CloudFormation templates in an Amazon S3 bucket by using a separate prefix for each AWS account. Create an AWS Lambda function that deploys a specific CloudFormation template to each new AWS account based on the prefix path that indicates where each template is located in the S3 bucket.
B. Store CloudFormation templates in an Amazon S3 bucket. Create an AWS Lambda function that deploys a specific CloudFormation template to the new AWS accounts based on the OU each new account is in. Create an Amazon EventBridge rule that matches "eventName": "CreateAccountResult" and "state": "SUCCEEDED." Set the Lambda function as the target of the EventBridge rule.
C. Enable AWS Control Tower. Use Customizations for AWS Control Tower (CfCT) to deploy each CloudFormation template from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU.
D. Enable AWS Control Tower. Build a pipeline in AWS CodePipeline to deploy the CloudFormation deployment from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU. After the code is updated in GitHub, initiate the pipeline and deploy the CloudFormation templates to the new AWS accounts.

Answer: C

Explanation:
The requirement is to automatically apply different baseline CloudFormation templates based on OU placement when new AWS accounts are created, while keeping operational overhead as low as possible. Because the company is already using AWS Organizations and is planning a comprehensive account management strategy, the most AWS-native and efficient solution is AWS Control Tower with Customizations for AWS Control Tower (CfCT).
CfCT is specifically designed to extend Control Tower's baseline by allowing administrators to deploy OU-scoped CloudFormation templates automatically. The solution uses a manifest file to map CloudFormation templates to specific OUs, ensuring that each new account receives the correct baseline configuration immediately after provisioning. Templates and configuration are stored in a version-controlled Git repository, providing auditability, change tracking, and rollback capabilities.
Option B adds unnecessary operational complexity by introducing a custom CodePipeline that must be manually triggered and maintained. This duplicates functionality that CfCT already provides natively. Options C and D rely on custom Lambda logic and EventBridge rules, which increase maintenance burden, reduce transparency, and lack built-in OU-aware governance features.
AWS documentation explicitly recommends Customizations for AWS Control Tower for OU-based, scalable, and automated baseline deployments. Therefore, Option A delivers the required functionality with the least operational overhead and aligns with AWS best practices for multi-account governance.

NEW QUESTION # 373
A company is migrating its container-based workloads to an AWS Organizations multi-account environment.
The environment consists of application workload accounts that the company uses to deploy and run the containerized workloads. The company has also provisioned a shared services account tor shared workloads in the organization.
The company must follow strict compliance regulations. All container images must receive security scanning before they are deployed to any environment. Images can be consumed by downstream deployment mechanisms after the images pass a scan with no critical vulnerabilities. Pre-scan and post-scan images must be isolated from one another so that a deployment can never use pre-scan images.
A DevOps engineer needs to create a strategy to centralize this process.
Which combination of steps will meet these requirements with the LEAST administrative overhead? (Select TWO.)

A. Create pre-scan Amazon Elastic Container Registry (Amazon ECR) repositories in each account that publishes container images. Create repositories for post-scan images in the shared services account.
Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization read access to the post-scan repositories.
B. Create an AWS Lambda function. Create an Amazon EventBridge rule that reacts to image scanning completed events and invokes the Lambda function. Write function code that determines the image scanning status and pushes images without critical vulnerabilities to the post-scan repositories.
C. Create a pipeline in AWS CodePipeline for each pre-scan repository. Create a source stage that runs when new images are pushed to the pre-scan repositories. Create a stage that uses AWS CodeBuild as the action provider. Write a buildspec.yaml definition that determines the image scanning status and pushes images without critical vulnerabilities lo the post-scan repositories.
D. Configure image replication for each image from the image's pre-scan repository to the image's post- scan repository.
E. Create Amazon Elastic Container Registry (Amazon ECR) repositories in the shared services account:
one repository for each pre-scan image and one repository for each post-scan image. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization write access to the pre-scan repositories and read access to the post- scan repositories.

Answer: D,E

Explanation:
Step 1: Centralizing Image Scanning in a Shared Services Account
The first requirement is to centralize the image scanning process, ensuring pre-scan and post-scan images are stored separately. This can be achieved by creating separate pre-scan and post-scan repositories in the shared services account, with the appropriate resource-based policies to control access.
Action: Create separate ECR repositories for pre-scan and post-scan images in the shared services account.
Configure resource-based policies to allow write access to pre-scan repositories and read access to post-scan repositories.
Why: This ensures that images are isolated before and after the scan, following the compliance requirements.
Reference: AWS documentation on Amazon ECR and resource-based policies.
This corresponds to Option A: Create Amazon Elastic Container Registry (Amazon ECR) repositories in the shared services account: one repository for each pre-scan image and one repository for each post-scan image.
Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization write access to the pre-scan repositories and read access to the post-scan repositories.
Step 2: Replication between Pre-Scan and Post-Scan RepositoriesTo automate the transfer of images from the pre-scan repositories to the post-scan repositories (after they pass the security scan), you can configure image replication between the two repositories.
Action: Set up image replication between the pre-scan and post-scan repositories to move images that have passed the security scan.
Why: Replication ensures that only scanned and compliant images are available for deployment, streamlining the process with minimal administrative overhead.
Reference: AWS documentation on Amazon ECR image replication.
This corresponds to Option C: Configure image replication for each image from the image's pre-scan repository to the image's post-scan repository.

NEW QUESTION # 374
A company has a workflow that generates a file for each of the company ' s products and stores the files in a production environment Amazon S3 bucket. The company ' s users can access the S3 bucket.
Each file contains a product ID. Product IDs for products that have not been publicly announced are prefixed with a specific UUID. Product IDs are 12 characters long. IDs for products that have not been publicly announced begin with the letter P.
The company does not want information about products that have not been publicly announced to be available in the production environment S3 bucket.
Which solution will meet these requirements?

A. Create an Amazon Macie custom data identifier to identify product IDs in the production bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Remove all files that have a Macie finding from the production S3 bucket.
B. Create an Amazon Macie sensitive data discovery job with a managed data identifier. Remove all files that have a Macie finding from the production S3 bucket.
C. Create a new staging S3 bucket. Generate all files in the new staging bucket. Launch an Amazon Macie sensitive data discovery job with a managed data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.
D. Create a new staging S3 bucket. Generate all files in the new staging bucket. Create an Amazon Macie custom data identifier to identify product IDs in the new bucket that begin with the specific UUID.
Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.

Answer: D

Explanation:
The requirement is to prevent any product files containing unannounced product IDs (prefixed with a specific UUID) from being stored in the production S3 bucket that users can access.
To achieve this, a best practice is to use a staging bucket as a control point before files go to production, combined with Amazon Macie's data classification capabilities.
* Creating a custom data identifier in Amazon Macie allows precise detection of product IDs starting with the specific UUID, which default managed identifiers will not detect.
* By running a Macie sensitive data discovery job on the staging bucket, you can identify files containing these sensitive product IDs.
* Only files without findings (i.e., files that do not contain unannounced product IDs) are copied to the production bucket, ensuring no sensitive information is exposed. This approach aligns with AWS best practices for data classification and staged deployment workflows, maximizing control and reducing risk. Using Macie on the production bucket directly (options B and D) risks exposing sensitive data before detection and deletion. Option C uses managed data identifiers, which will likely not detect the custom UUID prefix pattern.
Reference from AWS Official Documentation and Study Guide:
* Amazon Macie Custom Data Identifiers: " You can create custom data identifiers in Amazon Macie to find sensitive data that is unique to your organization. " (Amazon Macie User Guide)
* Data Security Best Practices: " Use staging environments to inspect and sanitize data before moving it to production to reduce exposure risks. " (AWS Security Best Practices)

NEW QUESTION # 375
A company has deployed an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 node groups. The company ' s DevOps team uses the Kubernetes Horizontal Pod Autoscaler and recently installed a supported EKS cluster Autoscaler.
The DevOps team needs to implement a solution to collect metrics and logs of the EKS cluster to establish a baseline for performance. The DevOps team will create an initial set of thresholds for specific metrics and will update the thresholds over time as the cluster is used. The DevOps team must receive an Amazon Simple Notification Service (Amazon SNS) email notification if the initial set of thresholds is exceeded or if the EKS cluster Autoscaler is not functioning properly.
The solution must collect cluster, node, and pod metrics. The solution also must capture logs in Amazon CloudWatch.
Which combination of steps should the DevOps team take to meet these requirements? (Select THREE.)

A. Deploy AWS Distro for OpenTelemetry to the cluster. Ensure that the EKS cluster has appropriate permissions to send metrics and logs to CloudWatch.
B. Create a CloudWatch alarm to monitor a metric log filter of the Autoscaler deployments for errors.Configure the alarm to send an SNS email notification to the DevOps team if thresholds are exceeded.
C. Create a CloudWatch alarm to monitor the logs of the Autoscaler deployments for errors. Configure the alarm to send an SNS email notification to the DevOps team if thresholds are exceeded.
D. Create a CloudWatch composite alarm to monitor a metric log filter of the CPU, memory, and node metrics of the cluster. Configure the alarm to send an SNS email notification to the DevOps team when anomalies are detected.
E. Create CloudWatch alarms to monitor the CPU, memory, and node failure metrics of the cluster.
Configure the alarms to send an SNS email notification to the DevOps team if thresholds are exceeded.
F. Deploy the CloudWatch agent and Fluent Bit to the cluster. Ensure that the EKS cluster has appropriate permissions to send metrics and logs to CloudWatch.

Answer: B,E,F

Explanation:
Deploy CloudWatch Agent + Fluent Bit (supported by Amazon EKS integration) to forward metrics and logs.
Create CloudWatch Alarms for CPU/memory/node metrics and metric log filters for Autoscaler logs, triggering SNS notifications when anomalies occur. This pattern matches AWS guidance on "Monitoring EKS clusters with CloudWatch Container Insights and alarms."

NEW QUESTION # 376
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