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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: SDLC Automation22%- 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 CI/CD pipelines
  • 1. Implement deployment strategies (blue-green, canary, rolling)
  • 2. Design failure handling strategies
  • 3. Determine appropriate CI/CD pipeline architecture
  • 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
Topic 2: Configuration Management and Infrastructure as Code22%- 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)
- Implement compliance and configuration monitoring
  • 1. Design remediation automation
  • 2. Use AWS Config for compliance monitoring
  • 3. Implement AWS CloudTrail for auditing
- 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
Topic 3: Monitoring and Logging12%- 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
Topic 4: Policies and Standards Automation10%- 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
- Design and implement governance strategies
  • 1. Implement tagging policies and resource grouping
  • 2. Implement approval workflows and automation
  • 3. Design cost optimization through policies
Topic 5: High Availability and Disaster Recovery16%- Design and implement disaster recovery strategies
  • 1. Implement multi-region active-active architectures
  • 2. Implement backup and restore mechanisms
  • 3. Design RTO and RPO based DR solutions
  • 4. Implement pilot light and warm standby architectures
- 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 load balancing and traffic management
  • 2. Design multi-AZ and multi-region architectures
  • 3. Implement auto scaling strategies
Topic 6: Incident and Event Response18%- Design and implement event and incident management
  • 1. Design event aggregation and correlation
  • 2. Implement automated incident detection
  • 3. Implement automated response playbooks
- Design and implement chaos engineering practices
  • 1. Analyze system behavior under failure conditions
  • 2. Implement fault injection experiments (AWS Fault Injection Simulator)
  • 3. Design resilience testing strategies

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q110-Q115):

NEW QUESTION # 110
A company has a search application that has a web interface. The company uses Amazon CloudFront, Application Load Balancers (ALBs), and Amazon EC2 instances in an Auto Scaling group with a desired capacity of 3. The company uses prebaked AMIs. The application starts in 1 minute. The application queries an Amazon OpenSearch Service cluster. The application is deployed to multiple Availability Zones. Because of compliance requirements, the application needs to have a disaster recovery (DR) environment in a separate AWS Region. The company wants to minimize the ongoing cost of the DR environment and requires an RTO and an RPO of under 30 minutes. The company has created an ALB in the DR Region. Which solution will meet these requirements?

Answer: A


NEW QUESTION # 111
A healthcare services company is concerned about the growing costs of software licensing for an application for monitoring patient wellness. The company wants to create an audit process to ensure that the application is running exclusively on Amazon EC2 Dedicated Hosts. A DevOps engineer must create a workflow to audit the application to ensure compliance.
What steps should the engineer take to meet this requirement with the LEAST administrative overhead?

Answer: D

Explanation:
Explanation
The correct answer is C. Using AWS Config to identify and audit all EC2 instances based on their host placement configuration is the most efficient and scalable solution to ensure compliance with the software licensing requirement. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. By creating a custom AWS Config rule that triggers a Lambda function to verify host placement, the DevOps engineer can automate the process of checking whether the instances are running on EC2 Dedicated Hosts or not. The Lambda function can return a NON_COMPLIANT result if the instance is not running on an EC2 Dedicated Host, and the AWS Config report can provide a summary of the compliance status of the instances. This solution requires the least administrative overhead compared to the other options.
Option A is incorrect because using AWS Systems Manager Configuration Compliance to scan and build a database of noncompliant EC2 instances based on their host placement configuration is a more complex and costly solution than using AWS Config. AWS Systems Manager Configuration Compliance is a feature of AWS Systems Manager that enables you to scan your managed instances for patch compliance and configuration inconsistencies. To use this feature, the DevOps engineer would need to install the Systems Manager Agent on each EC2 instance, create a State Manager association to run the put-compliance-items API action periodically, and use a DynamoDB table to store the instance IDs of noncompliant resources. This solution would also require more API calls and storage costs than using AWS Config.
Option B is incorrect because using custom Java code running on an EC2 instance to check and terminate noncompliant EC2 instances is a more cumbersome and error-prone solution than using AWS Config. This solution would require the DevOps engineer to write and maintain the Java code, set up EC2 Auto Scaling for the instance, use an SQS queue and another worker instance to process the instance IDs, use a Lambda function and an SNS topic to terminate and notify the noncompliant instances, and handle any potential failures or exceptions in the workflow. This solution would also incur more compute, storage, and messaging costs than using AWS Config.
Option D is incorrect because using AWS CloudTrail to identify and audit EC2 instances by analyzing the EC2 RunCommand API action is a less reliable and accurate solution than using AWS Config. AWS CloudTrail is a service that enables you to monitor and log the API activity in your AWS account. The EC2 RunCommand API action is used to execute commands on one or more EC2 instances. However, this API action does not necessarily indicate the host placement of the instance, and it may not capture all the instances that are running on EC2 Dedicated Hosts or not. Therefore, option D would not provide a comprehensive and consistent audit of the EC2 instances.


NEW QUESTION # 112
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?

Answer: B

Explanation:
Step 1: Using Native Git in CodeBuild
To 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 Commit
Once 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 # 113
A company builds a container image in an AWS CodeBuild project by running Docker commands. After the container image is built, the CodeBuild project uploads the container image to an Amazon S3 bucket. The CodeBuild project has an IAM service role that has permissions to access the S3 bucket.
A DevOps engineer needs to replace the S3 bucket with an Amazon Elastic Container Registry (Amazon ECR) repository to store the container images. The DevOps engineer creates an ECR private image repository in the same AWS Region of the CodeBuild project.
The DevOps engineer adjusts the IAM service role with the permissions that are necessary to work with the new ECR repository. The DevOps engineer also places new repository information into the docker build command and the docker push command that are used in the buildspec.yml file.
When the CodeBuild project runs a build job, the job fails when the job tries to access the ECR repository.
Which solution will resolve the issue of failed access to the ECR repository?

Answer: C

Explanation:
Explanation
Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentica-tion token. Update the docker login command to use the authentication token to access the ECR repository.
This is the correct solution. The aws ecr get-login-password AWS CLI command retrieves and displays an authentication token that can be used to log in to an ECR repository. The docker login command can use this token as a password to authenticate with the ECR repository. This way, the CodeBuild project can push and pull images from the ECR repository without any errors. For more information, see Using Amazon ECR with the AWS CLI and get-login-password.


NEW QUESTION # 114
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?

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
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 astaging bucketas a control point before files go to production, combined with Amazon Macie's data classification capabilities.
* Creating acustom data identifierin Amazon Macie allows precise detection of product IDs starting with the specific UUID, which default managed identifiers will not detect.
* By running aMacie sensitive data discovery jobon the staging bucket, you can identify files containing these sensitive product IDs.
* Only fileswithout 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 # 115
......

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