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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Policies and Standards Automation10%- 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. Implement AWS Organizations and SCPs
  • 2. Design and implement security baselines
  • 3. Implement drift detection and remediation
Topic 2: High Availability and Disaster Recovery16%- Implement data backup and restore strategies
  • 1. Implement validation testing for backups
  • 2. Design point-in-time recovery solutions
  • 3. Implement cross-region replication
- Design and implement disaster recovery strategies
  • 1. Implement multi-region active-active architectures
  • 2. Implement pilot light and warm standby architectures
  • 3. Design RTO and RPO based DR solutions
  • 4. Implement backup and restore mechanisms
- 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
Topic 3: Configuration Management and Infrastructure as Code22%- 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 data management strategies
  • 1. Implement data lifecycle management
  • 2. Design backup and recovery solutions
  • 3. Implement database migration strategies
- 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
- Implement compliance and configuration monitoring
  • 1. Design remediation automation
  • 2. Implement AWS CloudTrail for auditing
  • 3. Use AWS Config for compliance monitoring
Topic 4: Monitoring and Logging12%- Design and implement monitoring and observability strategies
  • 1. Design custom metrics and alarms (Amazon CloudWatch)
  • 2. Implement distributed tracing (AWS X-Ray)
  • 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
Topic 5: Incident and Event Response18%- 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
- Design and implement event and incident management
  • 1. Implement automated response playbooks
  • 2. Design event aggregation and correlation
  • 3. Implement automated incident detection
Topic 6: SDLC Automation22%- Design build and test environments
  • 1. Design test automation frameworks
  • 2. Integrate security scanning and compliance checks
  • 3. Implement build environments (isolated, reproducible)
- Design and implement CI/CD pipelines
  • 1. Determine appropriate CI/CD pipeline architecture
  • 2. Design failure handling strategies
  • 3. Implement deployment strategies (blue-green, canary, rolling)
  • 4. Develop CI/CD pipelines considering testing and security requirements
- Design and implement source code management strategies
  • 1. Design code review and approval processes
  • 2. Implement repository configurations and hooks
  • 3. Determine branching strategies

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q52-Q57):

NEW QUESTION # 52
A company has developed a serverless web application that is hosted on AWS. The application consists of Amazon S3. Amazon API Gateway, several AWS Lambda functions, and an Amazon RDS for MySQL database. The company is using AWS CodeCommit to store the source code. The source code is a combination of AWS Serverless Application Model (AWS SAM) templates and Python code.
A security audit and penetration test reveal that user names and passwords for authentication to the database are hardcoded within CodeCommit repositories. A DevOps engineer must implement a solution to automatically detect and prevent hardcoded secrets.
What is the MOST secure solution that meets these requirements?

Answer: B

Explanation:
https://docs.aws.amazon.com/codecommit/latest/userguide/how-to-amazon-codeguru-reviewer.html


NEW QUESTION # 53
A company needs a strategy for failover and disaster recovery of its data and application. The application uses a MySQL database and Amazon EC2 instances. The company requires a maximum RPO of 2 hours and a maximum RTO of 10 minutes for its data and application at all times.
Which combination of deployment strategies will meet these requirements? (Select TWO.)

Answer: B,E

Explanation:
To meet the requirements of failover and disaster recovery, the company should use the following deployment strategies:
* Create an Amazon Aurora global database in two AWS Regions as the data store. In the event of a failure, promote the secondary Region to the primary for the application. Update the application to use the Aurora cluster endpoint in thesecondary Region.This strategy can provide a low RPO and RTO for the data, as Aurora global database replicates data with minimal latency across Regions and allows fast and easy failover12.The company can use the Amazon Aurora cluster endpoint to connect to the current primary DB cluster without needing to change any application code1.
* Set up the application in two AWS Regions. Configure AWS Global Accelerator to point to Application Load Balancers (ALBs) in both Regions. Add both ALBs to a single endpoint group. Use health checks and Auto Scaling groups in each Region.This strategy can provide high availability and performance for the application, as AWS Global Accelerator uses the AWS global network to route traffic to the closest healthy endpoint3.The company can also use static IP addresses that are assigned by Global Accelerator as a fixed entry point for their application1.By using health checks and Auto Scaling groups, the company can ensure that their application can scale up or down based on demand and handle any instance failures4.
The other options are incorrect because:
* Creating an Amazon Aurora Single-AZ cluster in multiple AWS Regions as the data store would not provide a fast failover or disaster recovery solution, as the company would need to manually restore data from backups or snapshots in another Region in case of a failure.
* Creating an Amazon Aurora cluster in multiple AWS Regions as the data store and using a Network Load Balancer to balance the database traffic in different Regions would not work, as Network Load Balancers do not support cross-Region routing. Moreover, this strategy would not provide a consistent view of the data across Regions, as Aurora clusters do not replicate data automatically between Regions unless they are part of a global database.
* Setting up the application in two AWS Regions and using Amazon Route 53 failover routing that points to Application Load Balancers in both Regions would not provide a low RTO, as Route 53 failover routing relies on DNS resolution, which can take time to propagate changes across different DNS servers and clients. Moreover, this strategy would not provide deterministic routing, as Route 53 failover routing depends on DNS caching behavior, which can vary depending on different factors.


NEW QUESTION # 54
A company runs a data processing pipeline on AWS every day. The pipeline downloads data from an Amazon S3 bucket to Amazon EC2 instances. The company runs a batch analysis process on the downloaded data by manually running a custom Python script. The batch process usually takes 10 to 30 minutes to complete the analysis.
A DevOps engineer wants to modernize the data processing pipeline. The DevOps engineer needs to set up a new event-driven pipeline that sends notifications to company management when the batch process is finished.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: C

Explanation:
AWS Glue Python shell jobs are made to run Python scripts without managing EC2 instances, which directly fits the existing custom Python batch script. AWS documents that Python shell jobs run Python scripts in AWS Glue, and Glue integrates with EventBridge for automation and job state changes. This creates an event- driven serverless workflow: an S3 object event starts the Glue job, Glue emits a completion event, and EventBridge routes the event to SNS for management notification. Option C is unsafe because the batch process can take up to 30 minutes, while a standard Lambda invocation has a 15-minute maximum timeout.
Options B and D keep EC2 in the design, which adds patching, scaling, instance availability, and operational overhead.


NEW QUESTION # 55
A Company uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the main branch when the changes are ready for production.
The developers should not be able to push changes directly to the main branch. The company applied the AWSCodeCommitPowerUser managed policy to the developers' IAM role, and now these developers can push changes to the main branch directly on every repository in the AWS account.
What should the company do to restrict the developers' ability to push changes to the main branch directly?

Answer: B

Explanation:
Explanation
By default, the AWSCodeCommitPowerUser managed policy allows users to push changes to any branch in any repository in the AWS account. To restrict the developers' ability to push changes to the main branch directly, an additional policy is needed that explicitly denies these actions for the main branch.
The Deny rule should be included in a policy statement that targets the specific repositories and includes a condition that references the main branch. The policy statement should look something like this:
{
"Effect": "Deny",
"Action": [
"codecommit:GitPush",
"codecommit:PutFile"
],
"Resource": "arn:aws:codecommit:<region>:<account-id>:<repository-name>",
"Condition": {
"StringEqualsIfExists": {
"codecommit:References": [
"refs/heads/main"
]
}
}


NEW QUESTION # 56
A company runs a web application that extends across multiple Availability Zones. The company uses an Application Load Balancer (ALB) for routing. AWS Fargate (or the application and Amazon Aurora for the application data The company uses AWS CloudFormation templates to deploy the application The company stores all Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository in the same AWS account and AWS Region.
A DevOps engineer needs to establish a disaster recovery (DR) process in another Region. The solution must meet an RPO of 8 hours and an RTO of 2 hours The company sometimes needs more than 2 hours to build the Docker images from the Dockerfile Which solution will meet the RTO and RPO requirements MOST cost-effectively?

Answer: B

Explanation:
The most cost-effective solution to meet the RTO and RPO requirements is option B. This option involves copying the CloudFormation templates to an Amazon S3 bucket in the DR Region, configuring Aurora automated backup Cross-Region Replication, and configuring ECR Cross-Region Replication. In the event of a disaster, the CloudFormation template with the most recent Aurora snapshot and the Docker image from the local ECR repository can be used to launch a new CloudFormation stack in the DR Region. This approach avoids the need to build Docker images from the Dockerfile, which can sometimes take more than 2 hours, thus meeting the RTO requirement. Additionally, the use of automated backups and replication ensures that the RPO of 8 hours is met.
References:
* AWS Documentation on Disaster Recovery: Plan for Disaster Recovery (DR) - Reliability Pillar
* AWS Blog on Establishing RPO and RTO Targets: Establishing RPO and RTO Targets for Cloud Applications
* AWS Documentation on ECR Cross-Region Replication: Amazon ECR Cross-Region Replication
* AWS Documentation on Aurora Cross-Region Replication: Replicating Amazon Aurora DB Clusters Across AWS Regions


NEW QUESTION # 57
......

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