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Amazon DOP-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Monitoring and Logging | 12% | - Design and implement monitoring and observability strategies
- 1. Implement log aggregation and analysis
- 2. Implement distributed tracing (AWS X-Ray)
- 3. Design custom metrics and alarms (Amazon CloudWatch)
- Design and implement alerting and incident management
- 1. Implement automated incident response
- 2. Design runbook automation
- 3. Create alarm notification strategies
|
| Policies and Standards Automation | 10% | - Design and implement preventive and detective controls
- 1. Implement drift detection and remediation
- 2. Implement AWS Organizations and SCPs
- 3. Design and implement security baselines
- Design and implement governance strategies
- 1. Implement approval workflows and automation
- 2. Implement tagging policies and resource grouping
- 3. Design cost optimization through policies
|
| 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. Design multi-AZ and multi-region architectures
- 2. Implement auto scaling strategies
- 3. Implement load balancing and traffic management
- Design and implement disaster recovery strategies
- 1. Implement pilot light and warm standby architectures
- 2. Design RTO and RPO based DR solutions
- 3. Implement backup and restore mechanisms
- 4. Implement multi-region active-active architectures
|
| 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. Design resilience testing strategies
- 2. Analyze system behavior under failure conditions
- 3. Implement fault injection experiments (AWS Fault Injection Simulator)
|
| 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. Design code review and approval processes
- 2. Implement repository configurations and hooks
- 3. Determine branching strategies
- Design build and test environments
- 1. Implement build environments (isolated, reproducible)
- 2. Integrate security scanning and compliance checks
- 3. Design test automation frameworks
|
| Configuration Management and Infrastructure as Code | 22% | - Design and implement infrastructure as code
- 1. Develop IaC templates (AWS CloudFormation, Terraform)
- 2. Implement modular and reusable infrastructure components
- 3. Design for scalability and repeatability
- Design and implement configuration management
- 1. Design patch management strategies
- 2. Implement AWS Systems Manager for configuration management
- 3. Implement parameter management (AWS Parameter Store, Secrets Manager)
- Design and implement data management strategies
- 1. Implement database migration strategies
- 2. Implement data lifecycle management
- 3. Design backup and recovery solutions
- Implement compliance and configuration monitoring
- 1. Use AWS Config for compliance monitoring
- 2. Design remediation automation
- 3. Implement AWS CloudTrail for auditing
|
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Amazon AWS Certified DevOps Engineer - Professional DOP-C02 Prüfungsfragen mit Lösungen (Q80-Q85):
80. Frage
A company has a new AWS account that teams will use to deploy various applications. The teams will create many Amazon S3 buckets for application- specific purposes and to store AWS CloudTrail logs. The company has enabled Amazon Macie for the account.
A DevOps engineer needs to optimize the Macie costs for the account without compromising the account's functionality.
Which solutions will meet these requirements? (Select TWO.)
- A. Configure discovery jobs to include S3 objects based on the last modified criterion.
- B. Configure discovery jobs to include S3 objects that are tagged as production only.
- C. Exclude S3 buckets that have public read access from automated discovery.
- D. Exclude S3 buckets that contain CloudTrail logs from automated discovery.
- E. Configure scheduled daily discovery jobs for all S3 buckets in the account.
Antwort: A,D
Begründung:
Explanation
To optimize the Macie costs for the account without compromising the account's functionality, the DevOps engineer needs to exclude S3 buckets that do not contain sensitive data from automated discovery. S3 buckets that contain CloudTrail logs are unlikely to have sensitive data, and Macie charges for scanning and monitoring data in S3 buckets. Therefore, excluding S3 buckets that contain CloudTrail logs from automated discovery can reduce Macie costs. Similarly, configuring discovery jobs to include S3 objects based on the last modified criterion can also reduce Macie costs, as it will only scan and monitor new or updated objects, rather than all objects in the bucket.
81. Frage
A DevOps team operates an integration service that runs on an Amazon EC2 instance. The DevOps team uses Amazon Route 53 to manage the integration service's domain name by using a simple routing record. The integration service is stateful and uses Amazon Elastic File System (Amazon EFS) for data storage and state storage. The integration service does not support load balancing between multiple nodes. The DevOps team deploys the integration service on a new EC2 instance as a warm standby to reduce the mean time to recovery.
The DevOps team wants the integration service to automatically fail over to the standby EC2 instance. Which solution will meet these requirements?
- A. Update the existing Route 53 DNS record's routing policy to weighted. Set the existing DNS record's weighting to 100. For the same domain, add a new DNS record that points to the standby EC2 instance.
Set the new DNS record's weighting to 0. Associate an application health check with each record. - B. Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB.
Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group's weighting to 99. Set the standby target group's weighting to 1. - C. Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB.
Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group's weighting to 100. Set the standby target group's weighting to 0. - D. Update the existing Route 53 DNS record's routing policy to weighted. Set the existing DNS record's weighting to 99. For the same domain, add a new DNS record that points to the standby EC2 instance.
Set the new DNS record's weighting to 1. Associate an application health check with each record.
Antwort: A
82. Frage
A company is migrating from its on-premises data center to AWS. The company currently uses a custom on-premises CI/CD pipeline solution to build and package software.
The company wants its software packages and dependent public repositories to be available in AWS CodeArtifact to facilitate the creation of application-specific pipelines.
Which combination of steps should the company take to update the CI/CD pipeline solution and to configure CodeArtifact with the LEAST operational overhead? (Select TWO.)
- A. Update the CI/CD pipeline to create a VM image that contains newly packaged software Use AWS Import/Export to make the VM image available as anAmazon EC2 AMI. Launch the AMI with an attached 1AM instance profile that allows CodeArtifact actions. Use AWS CLI commands to publish the packages to a CodeArtifact repository.
- B. Create a CodeArtifact repository that is configured with a set of external connections to the public repositories. Configure the external connections to be downstream of the repository
- C. Create a new Amazon S3 bucket. Generate a presigned URL that allows the PutObject request. Update the on-premises CI/CD pipeline to use thepresigned URL to publish the packages from the on-premises location to the S3 bucket. Create an AWS Lambda function that runs when packages are created in the bucket through a put command Configure the Lambda function to publish the packages to CodeArtifact
- D. Create an AWS Identity and Access Management Roles Anywhere trust anchor Create an 1AM role that allows CodeArtifact actions and that has a trust relationship on the trust anchor. Update the on-premises CI/CD pipeline to assume the new 1AM role and to publish the packages to CodeArtifact.
- E. For each public repository, create a CodeArtifact repository that is configured with an external connection Configure the dependent repositories as upstream public repositories.
Antwort: D,E
Begründung:
* Create an AWS Identity and Access Management Roles Anywhere trust anchor Create an IAM role that allows CodeArtifact actions and that has a trust relationship on the trust anchor. Update the on-premises CI/CD pipeline to assume the new IAM role and to publish the packages to CodeArtifact:
Roles Anywhere allows on-premises servers to assume IAM roles, making it easier to integrate on-premises environments with AWS services.
Steps:
Create a trust anchor in IAM.
Create an IAM role with permissions for CodeArtifact actions (e.g., publishing packages).
Update the CI/CD pipeline to assume this role using the trust anchor.
* Create a new Amazon S3 bucket. Generate a presigned URL that allows the PutObject request. Update the on-premises CI/CD pipeline to use the presigned URL to publish the packages from the on-premises location to the S3 bucket. Create an AWS Lambda function that runs when packages are created in the bucket through a put command Configure the Lambda function to publish the packages to CodeArtifact:
Using an S3 bucket as an intermediary, you can easily upload packages from on-premises systems.
Steps:
Create an S3 bucket.
Generate presigned URLs to allow the CI/CD pipeline to upload packages.
Configure an AWS Lambda function to trigger on S3 PUT events and publish the packages to CodeArtifact.
References:
IAM Roles Anywhere
Amazon S3 presigned URLs
AWS Lambda function triggers
83. Frage
A company recently launched multiple applications that use Application Load Balancers. Application response time often slows down when the applications experience problems A DevOps engineer needs to Implement a monitoring solution that alerts the company when the applications begin to perform slowly The DevOps engineer creates an Amazon Simple Notification Semce (Amazon SNS) topic and subscribe the company's email address to the topic What should the DevOps engineer do next to meet the requirements?
- A. Create an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval. Configure the canary to use the SNS topic when the applications return errors.
- B. Create an Amazon CloudWatch alarm that uses the AWS/AppljcabonELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports Configure the CloudWatch alarm to use the SNS topic.
- C. Create an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval Configure the Lambda function to publish a notification to the SNS topic when the applications return errors.
- D. Create an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports Configure the CloudWatch alarm to use the SNS topic
Antwort: A
Begründung:
Option A is incorrect because creating an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval is not a valid solution. EventBridge rules can only trigger Lambda functions based on events, not on time intervals. Moreover, querying the applications on a 5-minute interval might incur unnecessary costs and network overhead, and might not detect performance issues in real time.
Option B is correct because creating an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval is a valid solution. CloudWatch Synthetics canaries are configurable scripts that monitor endpoints and APIs by simulating customer behavior. Canaries can run as often as once per minute, and can measure the latency and availability of the applications. Canaries can also send notifications to an Amazon SNS topic when they detect errors or performance issues1.
Option C is incorrect because creating an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution. The RequestCountPerTarget metric measures the number of requests completed or connections made per target in a target group2. This metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports is not a valid way to measure the application performance, as it depends on the application design and implementation.
Option D is incorrect because creating an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution, for the same reason as option C.
The RequestCountPerTarget metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports is not a valid way to measure the application performance, as it does not account for variability or outliers in the response time distribution.
Reference:
1: Using synthetic monitoring
2: Application Load Balancer metrics
84. Frage
A company is using an AWS CodeBuild project to build and package an application. The packages are copied to a shared Amazon S3 bucket before being deployed across multiple AWS accounts.
The buildspec.yml file contains the following:

The DevOps engineer has noticed that anybody with an AWS account is able to download the artifacts.
What steps should the DevOps engineer take to stop this?
- A. Configure a default ACL for the S3 bucket that defines the set of authenticated users as the relevant AWS accounts only and grants read-only access.
- B. Modify the post_build command to use --acl public-read and configure a bucket policy that grants read access to the relevant AWS accounts only.
- C. Create an S3 bucket policy that grants read access to the relevant AWS accounts and denies read access to the principal "*".
- D. Modify the post_build command to remove --acl authenticated-read and configure a bucket policy that allows read access to the relevant AWS accounts only.
Antwort: D
Begründung:
When setting the flag authenticated-read in the command line, the owner gets FULL_CONTROL. The AuthenticatedUsers group (Anyone with an AWS account) gets READ access. Reference: https://docs.aws.amazon.com/AmazonS3/latest/userguide/acl-overview.html
85. Frage
......
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