Amazon Web Services DOP-C02 Exam With Confidence Using Practice Dumps

Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:

During an Amazon ECS service deployment, if tasks fail the Elastic Load Balancing target group health checks, Amazon ECS considers those tasks unhealthy and stops and replaces them. This behavior can cause the deployment to remain incomplete because healthy replacement tasks never become available.

Also, if an essential container in the task exits, the entire task stops. Since the question states that the new tasks enter a stopped state soon after launch, an essential container failure is a direct and highly likely cause.

Why the other options are incorrect:

B. The IAM role used by the DevOps engineer to update the ECS service does not need RunTask permission for the tasks to remain running after launch. A permission issue here would more likely affect the update action itself rather than cause launched tasks to stop shortly afterward.

C. Although CloudWatch Logs configuration problems can affect logging, the missing log group is not the most likely direct reason for ECS tasks to repeatedly stop in this deployment scenario.

D. The task role provides permissions to the application code running inside the container. It is not the role primarily responsible for launching the task. Task startup is typically related to the task execution role, ECS service behavior, container health, and load balancer checks.

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 CodePipeline V2 introduces execution modes such as QUEUED and SUPERSEDED , along with native support for advanced trigger filtering when using AWS CodeConnections.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 SUPERSEDED mode would cancel the running execution, which violates the requirement.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.

Step 1: Sending AWS WAF Logs to CloudWatch LogsAWS WAF allows you to log requests that are evaluated against your web ACLs. These logs can be sent directly to CloudWatch Logs, which enables real-time monitoring and analysis.

Action: Configure the AWS WAF web ACL to send log messages to a CloudWatch Logs log group.

Why: This allows the operations team to view the logs in real time and analyze patterns using CloudWatch metric filters.