DOP-C02 Reliable Test Cost & DOP-C02 Exam Pattern

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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: High Availability and Disaster Recovery	16%	- Design and implement disaster recovery strategies 1. Design RTO and RPO based DR solutions 2. Implement multi-region active-active architectures 3. Implement backup and restore mechanisms 4. Implement pilot light and warm standby architectures - Design and implement high availability and scalability 1. Implement load balancing and traffic management 2. Implement auto scaling strategies 3. Design multi-AZ and multi-region 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
Topic 2: Monitoring and Logging	12%	- 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) - Design and implement alerting and incident management 1. Implement automated incident response 2. Create alarm notification strategies 3. Design runbook automation
Topic 3: Incident and Event Response	18%	- 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 - Design and implement event and incident management 1. Implement automated response playbooks 2. Design event aggregation and correlation 3. Implement automated incident detection
Topic 4: SDLC Automation	22%	- 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. Develop CI/CD pipelines considering testing and security requirements 2. Implement deployment strategies (blue-green, canary, rolling) 3. Determine appropriate CI/CD pipeline architecture 4. Design failure handling strategies - Design and implement source code management strategies 1. Implement repository configurations and hooks 2. Design code review and approval processes 3. Determine branching strategies
Topic 5: Policies and Standards Automation	10%	- 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 6: Configuration Management and Infrastructure as Code	22%	- Design and implement configuration management 1. Design patch management strategies 2. Implement parameter management (AWS Parameter Store, Secrets Manager) 3. Implement AWS Systems Manager for configuration management - Design and implement infrastructure as code 1. Implement modular and reusable infrastructure components 2. Develop IaC templates (AWS CloudFormation, Terraform) 3. Design for scalability and repeatability - Design and implement data management strategies 1. Design backup and recovery solutions 2. Implement database migration strategies 3. Implement data lifecycle management - Implement compliance and configuration monitoring 1. Implement AWS CloudTrail for auditing 2. Design remediation automation 3. Use AWS Config for compliance monitoring

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q171-Q176):

NEW QUESTION # 171
A company has multiple AWS accounts. The company uses AWS IAM Identity Center (AWS Single Sign- On) that is integrated with AWS Toolkit for Microsoft Azure DevOps. The attributes for access control feature is enabled in IAM Identity Center.
The attribute mapping list contains two entries. The department key is mapped to ${path:enterprise.
department}. The costCenter key is mapped to ${path:enterprise.costCenter}.
All existing Amazon EC2 instances have a department tag that corresponds to three company departments (d1, d2, d3). A DevOps engineer must create policies based on the matching attributes. The policies must minimize administrative effort and must grant each Azure AD user access to only the EC2 instances that are tagged with the user's respective department name.
Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?

Answer: B

Explanation:
https://docs.aws.amazon.com/singlesignon/latest/userguide/configure-abac.html

NEW QUESTION # 172
A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository.
What is the MOST efficient way to meet these requirements?

A. Create an AWS CodeCommit repository tor each project, use the mam branch for production code: and create a testing branch for code deployed to testing Use feature branches to develop new features and pull requests to merge code to testing and main branches.
B. Enable versioning and branching on each S3 bucket, use the main branch for production code, and create a testing branch for code deployed to testing. Have developers use each branch for developing in each environment.
C. Create an AWS CodeCommit repository for each project, and use the main branch for production and test code with different deployment pipelines for each environment Use feature branches to develop new features.
D. Create another S3 bucket for each project for testing code, and use an AWS Lambda function to promote code changes between testing and production buckets Enable versioning on all buckets to prevent code conflicts.

Answer: A

Explanation:
Creating an AWS CodeCommit repository for each project, using the main branch for production code, and creating a testing branch for code deployed to testing will meet the requirements. AWS CodeCommit is a managed revision control service that hosts Git repositories and works with all Git-based tools1. By using feature branches to develop new features and pull requests to merge code to testing and main branches, the developers can avoid code conflicts and lost work, and also implement code reviews and approvals. Option B is incorrect because creating another S3 bucket for each project for testing code and using an AWS Lambda function to promote code changes between testing and production buckets will not provide the benefits of revision control, such as tracking changes, branching, merging, and collaborating. Option C is incorrect because using the main branch for production and test code with different deployment pipelines for each environment will not allow the developers to test their code changes before deploying them to production. Option D is incorrect because enabling versioning and branching on each S3 bucket will not work with Git-based tools and will not provide the same level of revision control as AWS CodeCommit. References:
AWS CodeCommit
Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 182)

NEW QUESTION # 173
A company that uses electronic health records is running a fleet of Amazon EC2 instances with an Amazon Linux operating system. As part of patient privacy requirements, the company must ensure continuous compliance for patches for operating system and applications running on the EC2 instances.
How can the deployments of the operating system and application patches be automated using a default and custom repository?

A. Use yum-config-manager to add the custom repository under /etc/yum.repos.d and run yum-config-manager-enable to activate the repository.
B. Use AWS Systems Manager to create a new patch baseline including the corporate repository. Run the AWS-AmazonLinuxDefaultPatchBaseline document using the run command to verify and install patches.
C. Use AWS Direct Connect to integrate the corporate repository and deploy the patches using Amazon CloudWatch scheduled events, then use the CloudWatch dashboard to create reports.
D. Use AWS Systems Manager to create a new patch baseline including the custom repository. Run the AWS-RunPatchBaseline document using the run command to verify and install patches.

Answer: D

Explanation:
https://docs.aws.amazon.com/systems-manager/latest/userguide/patch-manager-how-it-works-alt-source-repository.html

NEW QUESTION # 174
A company uses Amazon Elastic Container Service (Amazon ECS) with an Amazon EC2 launch type. The company requires all log data to be centralized on Amazon CloudWatch. The company's ECS tasks include a LogConfiguration object that specifies a value of awslogs for the log driver name.
The company's ECS tasks failed to deploy. An error message indicates that a missing permission causes the failure. The company confirmed that the IAM role used to launch container instances includes the logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents permissions.
Which solution will fix the problem?

A. Add an IAM trust policy to the IAM role that establishes CloudWatch as a trusted service.
B. Add an IAM trust policy to the IAM role that establishes Amazon ECS as a trusted service.
C. Add the logs:PutDestination permission to the policy applied to the IAM role.
D. Remove the logs:CreateLogStream permission from the policy applied to the IAM role.

Answer: B

Explanation:
When using the awslogs log driver with ECS on EC2, the ECS agent running on the container instance uses the instance's IAM role (container instance role or task execution role, depending on configuration) to write logs to CloudWatch Logs. The policy already grants logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents, which are the required CloudWatch Logs actions. However, for the role to be usable by ECS, the role's trust policy must allow the appropriate service principal to assume it.
In this question, the error message indicates "missing permission" during ECS task deployment. If the IAM role is not trusted by the ECS service (for example, ecs-tasks.amazonaws.com for a task execution role or the proper principal for container instances), ECS cannot assume that role and therefore cannot use the granted CloudWatch permissions, causing deployment failures.
Option A addresses this by adding a trust relationship so that Amazon ECS can assume the IAM role. Options B and C mutate the permissions but do not fix the underlying problem: the missing trust. Option D incorrectly attempts to trust CloudWatch, which does not assume roles in this context.
Thus, adding a trust policy that establishes ECS as a trusted service is the correct fix.

NEW QUESTION # 175
A company uses AWS CloudFormation stacks to deploy updates to its application. The stacks consist of different resources. The resources include AWS Auto Scaling groups, Amazon EC2 instances, Application Load Balancers (ALBs), and other resources that are necessary to launch and maintain independent stacks.
Changes to application resources outside of CloudFormation stack updates are not allowed.
The company recently attempted to update the application stack by using the AWS CLI. The stack failed to update and produced the following error message: "ERROR: both the deployment and the CloudFormation stack rollback failed. The deployment failed because the following resource(s) failed to update:
[AutoScalingGroup]."
The stack remains in a status of UPDATE_ROLLBACK_FAILED. *
Which solution will resolve this issue?

A. Update the 1AM role by providing the necessary permissions to update the stack. Run the aws cloudformation continue-update-rollback AWS CLI command.
B. Submit a request for a quota increase for the number of EC2 instances for the account. Run the aws cloudformation cancel-update-stack AWS CLI command.
C. Update the subnet mappings that are configured for the ALBs. Run the aws cloudformation update- stack-set AWS CLI command.
D. Delete the Auto Scaling group resource. Run the aws cloudformation rollback-stack AWS CLI command.

Answer: A

Explanation:
https://repost.aws/knowledge-center/cloudformation-update-rollback-failed If your stack is stuck in the UPDATE_ROLLBACK_FAILED state after a failed update, then the only actions that you can perform on the stack are the ContinueUpdateRollback or DeleteStack operations.

NEW QUESTION # 176
......

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