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Amazon DOP-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: SDLC Automation | 22% | - Design and implement source code management strategies
- 1. Implement repository configurations and hooks
- 2. Determine branching strategies
- 3. Design code review and approval processes
- Design build and test environments
- 1. Implement build environments (isolated, reproducible)
- 2. Design test automation frameworks
- 3. Integrate security scanning and compliance checks
- 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 2: Policies and Standards Automation | 10% | - 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
- Design and implement governance strategies
- 1. Implement tagging policies and resource grouping
- 2. Design cost optimization through policies
- 3. Implement approval workflows and automation
|
| Topic 3: Configuration Management and Infrastructure as Code | 22% | - Design and implement data management strategies
- 1. Design backup and recovery solutions
- 2. Implement database migration strategies
- 3. Implement data lifecycle management
- 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 infrastructure as code
- 1. Develop IaC templates (AWS CloudFormation, Terraform)
- 2. Design for scalability and repeatability
- 3. Implement modular and reusable infrastructure components
- Implement compliance and configuration monitoring
- 1. Implement AWS CloudTrail for auditing
- 2. Design remediation automation
- 3. Use AWS Config for compliance monitoring
|
| Topic 4: Monitoring and Logging | 12% | - Design and implement alerting and incident management
- 1. Implement automated incident response
- 2. Create alarm notification strategies
- 3. Design runbook automation
- Design and implement monitoring and observability strategies
- 1. Implement log aggregation and analysis
- 2. Design custom metrics and alarms (Amazon CloudWatch)
- 3. Implement distributed tracing (AWS X-Ray)
|
| Topic 5: Incident and Event Response | 18% | - Design and implement chaos engineering practices
- 1. Design resilience testing strategies
- 2. Analyze system behavior under failure conditions
- 3. Implement fault injection experiments (AWS Fault Injection Simulator)
- Design and implement event and incident management
- 1. Implement automated incident detection
- 2. Implement automated response playbooks
- 3. Design event aggregation and correlation
|
| Topic 6: High Availability and Disaster Recovery | 16% | - Design and implement disaster recovery strategies
- 1. Implement multi-region active-active architectures
- 2. Design RTO and RPO based DR solutions
- 3. Implement pilot light and warm standby architectures
- 4. Implement backup and restore mechanisms
- Design and implement high availability and scalability
- 1. Design multi-AZ and multi-region architectures
- 2. Implement auto scaling strategies
- 3. Implement load balancing and traffic management
- Implement data backup and restore strategies
- 1. Implement validation testing for backups
- 2. Design point-in-time recovery solutions
- 3. Implement cross-region replication
|
>> DOP-C02 Zertifizierungsantworten <<
Amazon DOP-C02 Zertifizierungsprüfung & DOP-C02 Fragen Antworten
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Amazon AWS Certified DevOps Engineer - Professional DOP-C02 Prüfungsfragen mit Lösungen (Q167-Q172):
167. Frage
A development team uses AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild to develop and deploy an application. Changes to the code are submitted by pull requests. The development team reviews and merges the pull requests, and then the pipeline builds and tests the application.
Over time, the number of pull requests has increased. The pipeline is frequently blocked because of failing tests. To prevent this blockage, the development team wants to run the unit and integration tests on each pull request before it is merged.
Which solution will meet these requirements?
- A. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit Create a CodeBuild project to run the unit and integration tests. Configure the CodeBuild project as a target of the EventBridge rule that includes a custom event payload with the CodeCommit repository and branch information from the event.
- B. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit. Modify the existing CodePipeline pipeline to not run the deploy steps if the build is started from a pull request.
Configure the EventBridge rule to run the pipeline with a custom payload that contains the CodeCommit repository and branch information from the event. - C. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit approval rule template. Configure the template to require the successful invocation of the CodeBuild project. Attach the approval rule to the project's CodeCommit repository.
- D. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit notification rule that matches when a pull request is created or updated. Configure the notification rule to invoke the CodeBuild project.
Antwort: A
Begründung:
CodeCommit generates events in CloudWatch, CloudWatch triggers the CodeBuildhttps://aws.amazon.com/es
/blogs/devops/complete-ci-cd-with-aws-codecommit-aws-codebuild-aws-codedeploy-and-aws-codepipeline/
168. Frage
A company has many AWS accounts. During AWS account creation the company uses automation to create an Amazon CloudWatch Logs log group in every AWS Region that the company operates in. The automaton configures new resources in the accounts to publish logs to the provisioned log groups in their Region.
The company has created a logging account to centralize the logging from all the other accounts. A DevOps engineer needs to aggregate the log groups from all the accounts to an existing Amazon S3 bucket in the logging account.
Which solution will meet these requirements in the MOST operationally efficient manner?
- A. In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the. Destination Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.
- B. In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.
- C. In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from all the CloudWatch Logs destinations to the S3 bucket.
- D. In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination Configure an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each Region to deliver the logs from the CloudWatch Logs destinations to the S3 bucket.
Antwort: D
Begründung:
This solution will meet the requirements in the most operationally efficient manner because it will use CloudWatch Logs destination to aggregate the log groups from all the accounts to a single S3 bucket in the logging account. However, unlike option A, this solution will create a CloudWatch Logs destination for each region, instead of a single destination for all regions. This will improve the performance and reliability of the log delivery, as it will avoid cross-region data transfer and latency issues. Moreover, this solution will use an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each region, instead of a single stream for all regions. This will also improve the scalability and throughput of the log delivery, as it will avoid bottlenecks and throttling issues that may occur with a single stream.
169. Frage
A DevOps engineer uses AWS CodeBuild to frequently produce software packages. The CodeBuild project builds large Docker images that the DevOps engineer can use across multiple builds. The DevOps engineer wants to improve build performance and minimize costs. Which solution will meet these requirements?
- A. Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.
- B. Cache the Docker images in an Amazon S3 bucket that is available across multiple build hosts. Expire the cache by using an S3 Lifecycle policy.
- C. Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.
- D. Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Modify the CodeBuild project runtime configuration to always use the most recent image version.
Antwort: A
Begründung:
Step 1: Storing Docker Images in Amazon ECR
Docker images can be large, and storing them in a centralized, scalable location can greatly reduce build times. Amazon Elastic Container Registry (ECR) is a fully managed container registry that stores, manages, and deploys Docker container images.
Action: Store the Docker images in an ECR repository.
Why: Storing Docker images in ECR ensures that Docker images can be reused across multiple builds, improving build performance by avoiding the need to rebuild the images from scratch.
Reference:
Step 2: Implementing Docker Layer Caching in CodeBuild
Docker layer caching is essential for improving performance in continuous integration pipelines. CodeBuild supports local caching of Docker layers, which speeds up builds that reuse Docker images across multiple runs.
Action: Implement Docker layer caching within the CodeBuild project.
Why: This improves performance by allowing frequently used Docker layers to be cached locally, avoiding the need to pull or build the layers every time.
This corresponds to Option A: Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.
170. Frage
A company uses AWS CodeArtifact to centrally store Python packages. The CodeArtifact repository is configured with the following repository policy.
"Version": "2012-10-17",
"Statement": [
{
"Action": [
"codeartifact:DescribePackageVersion", "codeartifact:DescribeRepository",
"codeartifact:GetPackageVersionReadme", "codeartifact:GetRepositoryEndpoint", "codeartifact:
ListPackageVersionAssets", ''codeartifact: ListPackageVersionDependencies", "codeartifact:
ListPackageVersions", ''codeartifact :ListPackages",
''codeartifact: ReadFromRepository"
],
"Effect": "Allow",
"Resource": "*",
"Principal":
"Condition": {
"StringEquals": {
"aws:PrincipalOrglD": [ "o-xxxxxxxxxxx"
]
}
}
}
]
A development team is building a new project in an account that is in an organization in AWS Organizations.
The development team wants to use a Python library that has already been stored in the CodeArtifact repository in the organization. The development team uses AWS CodePipeline and AWS CodeBuild to build the new application. The CodeBuild job that the development team uses to build the application is configured to run in a VPC Because of compliance requirements the VPC has no internet connectivity.
The development team creates the VPC endpoints for CodeArtifact and updates the CodeBuild buildspec yaml file. However, the development team cannot download the Python library from the repository.
Which combination of steps should a DevOps engineer take so that the development team can use Code Artifact? (Select TWO.)
- A. Create an Amazon S3 gateway endpoint Update the route tables for the subnets that are running the CodeBuild job.
- B. Update the role that the CodeBuild project uses so that the role has sufficient permissions to use the CodeArtifact repository.
- C. Share the CodeArtifact repository with the organization by using AWS Resource Access Manager (AWS RAM).
- D. Specify the account that hosts the repository as the delegated administrator for CodeArtifact in the organization.
- E. Update the repository policy's Principal statement to include the ARN of the role that the CodeBuild project uses.
Antwort: A,B
Begründung:
"AWS CodeArtifact operates in multiple Availability Zones and stores artifact data and metadata in Amazon S3 and Amazon DynamoDB. Your encrypted data is redundantly stored across multiple facilities and multiple devices in each facility, making it highly available and highly durable." https://aws.amazon.com/codeartifact
/features/ With no internet connectivity, a gateway endpoint becomes necessary to access S3.
171. Frage
A company hosts a security auditing application in an AWS account. The auditing application uses an IAM role to access other AWS accounts. All the accounts are in the same organization in AWS Organizations.
A recent security audit revealed that users in the audited AWS accounts could modify or delete the auditing application's IAM role. The company needs to prevent any modification to the auditing application's IAM role by any entity other than a trusted administrator IAM role.
Which solution will meet these requirements?
- A. Create an IAM permissions boundary that includes a Deny statement for changes to the auditing application's IAM role. Include a condition that allows the trusted administrator IAM role to make changes. Attach the permissions boundary to the auditing application's IAM role in the AWS accounts.
- B. Create an SCP that includes an Allow statement for changes to the auditing application's IAM role by the trusted administrator IAM role. Include a Deny statement for changes by all other IAM principals. Attach the SCP to the IAM service in each AWS account where the auditing application has an IAM role.
- C. Create an IAM permissions boundary that includes a Deny statement for changes to the auditing application's IAM role. Include a condition that allows the trusted administrator IAM role to make changes. Attach the permissions boundary to the audited AWS accounts.
- D. Create an SCP that includes a Deny statement for changes to the auditing application's IAM role. Include a condition that allows the trusted administrator IAM role to make changes. Attach the SCP to the root of the organization.
Antwort: C
172. Frage
......
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