AWS Certified DevOps Engineer – Professional (DOP-C02) — Question 61

A DevOps engineer is building a multistage pipeline with AWS CodePipeline to build, verify, stage, test, and deploy an application. A manual approval stage is required between the test stage and the deploy stage. The development team uses a custom chat tool with webhook support that requires near-real-time notifications.
How should the DevOps engineer configure status updates for pipeline activity and approval requests to post to the chat tool?

Answer options

• A. Create an Amazon CloudWatch Logs subscription that filters on CodePipeline Pipeline Execution State Change. Publish subscription events to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the chat webhook URL to the SNS topic, and complete the subscription validation.
• B. Create an AWS Lambda function that is invoked by AWS CloudTrail events. When a CodePipeline Pipeline Execution State Change event is detected, send the event details to the chat webhook URL.
• C. Create an Amazon EventBridge rule that filters on CodePipeline Pipeline Execution State Change. Publish the events to an Amazon Simple Notification Service (Amazon SNS) topic. Create an AWS Lambda function that sends event details to the chat webhook URL. Subscribe the function to the SNS topic.
• D. Modify the pipeline code to send the event details to the chat webhook URL at the end of each stage. Parameterize the URL so that each pipeline can send to a different URL based on the pipeline environment.

Correct answer: C

Explanation

The correct answer is C because using Amazon EventBridge allows for efficient event handling and integration with AWS services, ensuring that the chat webhook receives updates promptly. Option A does not leverage EventBridge's capabilities and instead relies on CloudWatch Logs, which is less efficient for real-time notifications. Option B uses AWS CloudTrail, which is not ideal for real-time updates as it may introduce latency. Option D complicates the pipeline structure by requiring code modifications for different environments, which is less clean and scalable.