AIP-C01 · Question #4
A media company must use Amazon Bedrock to implement a robust governance process for AI- generated content. The company needs to manage hundreds of prompt templates. Multiple teams use the templates…
The correct answer is B. Use Amazon Bedrock Prompt Management to implement version control. Configure AWS. Amazon Bedrock Prompt Management is purpose-built for managing prompt templates at scale. It provides native version control so teams can track prompt changes, create and compare versions, and roll back if needed. By integrating with AWS services such as Amazon SNS and Amazon…
Question
A media company must use Amazon Bedrock to implement a robust governance process for AI- generated content. The company needs to manage hundreds of prompt templates. Multiple teams use the templates across multiple AWS Regions to generate content. The solution must provide version control with approval workflows that include notifications for pending reviews. The solution must also provide detailed audit trails that document prompt activities and consistent prompt parameterization to enforce quality standards. Which solution will meet these requirements?
Options
- AConfigure Amazon Bedrock Studio prompt templates. Use Amazon CloudWatch dashboards to
- BUse Amazon Bedrock Prompt Management to implement version control. Configure AWS
- CUse AWS Step Functions to create an approval workflow. Store prompts in Amazon S3. Use tags
- DDeploy Amazon SageMaker Canvas with prompt templates stored in Amazon S3. Use AWS
How the community answered
(30 responses)- A7% (2)
- B73% (22)
- C7% (2)
- D13% (4)
Explanation
Amazon Bedrock Prompt Management is purpose-built for managing prompt templates at scale. It provides native version control so teams can track prompt changes, create and compare versions, and roll back if needed. By integrating with AWS services such as Amazon SNS and Amazon EventBridge, approval workflows with notifications for pending reviews can be automated. AWS CloudTrail captures all Prompt Management API calls, creating detailed, immutable audit trails of every prompt activity. Prompt variables enforce consistent parameterization across teams and Regions. Option A (Bedrock Studio) is a collaboration environment, not a governance/versioning tool. Option C (Step Functions + S3) is a valid architecture but requires significant custom development, violating the implied least-effort principle. Option D (SageMaker Canvas) is a no-code ML tool unrelated to prompt governance.
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