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Amazon DOP-C02 certification exam is designed for professionals who are interested in validating their expertise in deploying and managing applications on the AWS platform using DevOps practices. AWS Certified DevOps Engineer - Professional certification exam is intended for individuals who already have experience working with AWS services and DevOps practices, and who are looking to further their knowledge and skills in this area. DOP-C02 exam covers a wide range of topics including continuous integration and delivery, infrastructure as code, monitoring and logging, security, and compliance.

To earn the Amazon DOP-C02 Certification, candidates must pass a challenging two-part exam that covers a range of topics related to DevOps and AWS. The first part of the exam focuses on core DevOps concepts, such as continuous integration, continuous delivery, and infrastructure as code. The second part of the exam tests candidates on their knowledge of AWS services and how they can be used to implement DevOps practices effectively.

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Amazon DOP-C02 is an advanced level certification exam offered by Amazon Web Services (AWS) for IT professionals who want to enhance their expertise in DevOps practices and technologies. AWS Certified DevOps Engineer - Professional certification is intended for individuals who have extensive experience with AWS services and have a thorough understanding of DevOps principles and practices. Passing DOP-C02 Exam validates the candidate's ability to design, deploy, and manage AWS services and infrastructure using DevOps methodologies.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q335-Q340):

NEW QUESTION # 335
A company has a stateless web application that is deployed on Amazon EC2 instances. The EC2 instances are in a target group behind an Application Load Balancer (ALB). Amazon Route 53 manages the application domain.
The company updates the application UI and develops a beta version of the application. The company wants to test the beta version on 10% of its traffic.
Which solution will meet these requirements with the LEAST number of configuration changes?

A. Refactor the application to implement a feature flag for the beta version by using AWS AppConfig. Use the feature flag to enable the beta version for 10% of the EC2 instances.
B. Deploy the beta version to new EC2 instances in a new target group. Associate the new target group with a new ALB. Update the existing Route 53 record to use a weighted routing policy. Add a new Route 53 record that points to the new ALB with the same routing policy. Assign a weight of 90 to the existing record. Assign a weight of 10 to the new record.
C. Deploy the beta version to new EC2 instances in a new target group. Associate the new target group with the same ALB listener rule. Assign a weight of 90 to the existing target group. Assign a weight of 10 to the new target group.
D. Containerize and deploy the application on Amazon Elastic Container Service (Amazon ECS). Use AWS CodeDeploy to deploy the beta version by using the CodeDeployDefault.ECSCanary10Percent15Minutes deployment configuration.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
ALB supports weighted target groups for traffic splitting between versions without DNS-level changes. By attaching multiple target groups (old & beta) to the same ALB listener rule with weights (90/10), partial traffic testing can occur seamlessly. This is the recommended least-change method per Application Load Balancer advanced request routing documentation.

NEW QUESTION # 336
A global company manages multiple AWS accounts by using AWS Control Tower. The company hosts internal applications and public applications.
Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations. One of the AWS Control Tower member accounts serves as a centralized DevOps account with CI/CD pipelines that application teams use to deploy applications to their respective target AWS accounts. An 1AM role for deployment exists in the centralized DevOps account.
An application team is attempting to deploy its application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster in an application AWS account. An 1AM role for deployment exists in the application AWS account. The deployment is through an AWS CodeBuild project that is set up in the centralized DevOps account. The CodeBuild project uses an 1AM service role for CodeBuild. The deployment is failing with an Unauthorized error during attempts to connect to the cross-account EKS cluster from CodeBuild.
Which solution will resolve this error?

A. Configure the application account's deployment 1AM role to have a trust relationship with the centralized DevOps account. Configure the trust relationship to allow the sts:AssumeRole action. Configure the application account's deployment 1AM role to have the required access to the EKS cluster. Configure the EKS cluster aws-auth ConfigMap to map the role to the appropriate system permissions.
B. Configure the centralized DevOps account's deployment I AM role to have a trust relationship with the application account. Configure the trust relationship to allow the sts:AssumeRole action. Configure the centralized DevOps account's deployment 1AM role to allow the required access to CodeBuild.
C. Configure the centralized DevOps account's deployment 1AM role to have a trust relationship with the application account. Configure the trust relationship to allow the sts:AssumeRoleWithSAML action. Configure the centralized DevOps account's deployment 1AM role to allow the required access to CodeBuild.
D. Configure the application account's deployment 1AM role to have a trust relationship with the AWS Control Tower management account. Configure the trust relationship to allow the sts:AssumeRole action. Configure the application account's deployment 1AM role to have the required access to the EKS cluster. Configure the EKS cluster aws-auth ConfigMap to map the role to the appropriate system permissions.

Answer: D

NEW QUESTION # 337
A company has an application that is using a MySQL-compatible Amazon Aurora Multi-AZ DB cluster as the database. A cross-Region read replica has been created for disaster recovery purposes. A DevOps engineer wants to automate the promotion of the replica so it becomes the primary database instance in the event of a failure.
Which solution will accomplish this?

A. Store the Aurora endpoint in AWS Systems Manager Parameter Store. Create an Amazon EventBridge event that detects the database failure and runs an AWS Lambda function to promote the replica instance and update the endpoint URL stored in AWS Systems Manager Parameter Store. Code the application to reload the endpoint from Parameter Store if a database connection fails.
B. Create an Aurora custom endpoint to point to the primary database instance. Configure the application to use this endpoint. Configure AWS CloudTrail to run an AWS Lambda function to promote the replica instance and modify the custom endpoint to point to the newly promoted instance.
C. Configure a latency-based Amazon Route 53 CNAME with health checks so it points to both the primary and replica endpoints. Subscribe an Amazon SNS topic to Amazon RDS failure notifications from AWS CloudTrail and use that topic to invoke an AWS Lambda function that will promote the replica instance as the primary.
D. Create an AWS Lambda function to modify the application's AWS CloudFormation template to promote the replica, apply the template to update the stack, and point the application to the newly promoted instance. Create an Amazon CloudWatch alarm to invoke this Lambda function after the failure event occurs.

Answer: A

Explanation:
EventBridge is needed to detect the database failure. Lambda is needed to promote the replica as it's in another Region (manual promotion, otherwise). Storing and updating the endpoint in Parameter store is important in updating the application. Look at High Availability section of Aurora FAQ: https://aws.amazon.com/rds/aurora/faqs/

NEW QUESTION # 338
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 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.
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 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.

Answer: A

Explanation:
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html?
icmpid=docs_orgs_console
SCPs (Service Control Policies) are the best way to restrict permissions at the organizational level, which in this case would be used to restrict modifications to the IAM role used by the auditing application, while still allowing trusted administrators to make changes to it. Options C and D are not as effective because IAM permission boundaries are applied to IAM entities (users, groups, and roles), not the account itself, and must be applied to all IAM entities in the account.

NEW QUESTION # 339
A DevOps engineer needs to configure an AWS CodePipeline pipeline that publishes container images to an Amazon Elastic Container Registry (Amazon ECR) repository. The pipeline must wait for the previous run to finish and must run when new Git tags are pushed to a Git repository that is connected to AWS CodeConnections. An existing deployment pipeline needs to run in response to the publication of new container images.
Which solution will meet these requirements?

A. Configure a CodePipeline V1 type pipeline that uses SUPERSEDED mode. Add a trigger filter to the pipeline definition that includes all tags. Add a stage at the end of the pipeline to invoke the existing deployment pipeline.
B. Configure a CodePipeline V1 type pipeline that uses QUEUED mode. Add a trigger filter to the pipeline definition that includes all branches. Add a stage at the end of the pipeline to invoke the existing deployment pipeline.
C. Configure a CodePipeline V2 type pipeline that uses QUEUED mode. Add a trigger filter to the pipeline definition that includes all tags. Configure an Amazon EventBridge rule that matches container image pushes to start the existing deployment pipeline.
D. Configure a CodePipeline V2 type pipeline that uses SUPERSEDED mode. Add a trigger filter to the pipeline definition that includes all branches. Configure an Amazon EventBridge rule that matches container image pushes to start the existing deployment pipeline.

Answer: C

Explanation:
The requirements clearly indicate the need for modern CodePipeline capabilities, strict execution ordering, Git tag-based triggers, and loose coupling between pipelines. CodePipeline V2 introduces execution modes such as QUEUED and SUPERSEDED, along with native support for advanced trigger filtering when using AWS CodeConnections.
The requirement that the pipeline must wait for the previous run to finish directly maps to QUEUED mode, which ensures that pipeline executions run sequentially rather than replacing in-progress executions. SUPERSEDED mode would cancel the running execution, which violates the requirement.
Triggering the pipeline when new Git tags are pushed is supported through CodePipeline V2 trigger filters using refs/tags/*. Branch-based triggers would not satisfy this condition.
Finally, the requirement that an existing deployment pipeline runs in response to new container images is best met using Amazon EventBridge, which natively emits events for ECR image push actions. EventBridge allows decoupled, event-driven orchestration between pipelines without tight dependencies or custom scripting. This is the AWS-recommended approach for pipeline-to-pipeline coordination.
Options C and D rely on CodePipeline V1, which lacks modern trigger filtering and execution control. Option B incorrectly uses SUPERSEDED mode and branch-based triggers.
Therefore, Option A correctly combines CodePipeline V2, QUEUED execution mode, tag-based triggers, and EventBridge-driven pipeline chaining, meeting all requirements with best practices and minimal operational complexity.

NEW QUESTION # 340
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