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Explanation:

Explanation

Correct Answer: B

Amazon Bedrock Prompt Management is specifically designed for managing prompt templates with version control, approval workflows, and audit trails. Here's why option B meets all requirements:

Key Requirements Met:

Version Control: Amazon Bedrock Prompt Management provides built-in version control for prompt templates.
Approval Workflows with Notifications: The service includes approval workflows with notification capabilities.
Detailed Audit Trails: AWS CloudTrail provides comprehensive audit logging of all API calls and activities.
Consistent Prompt Parameterization: Bedrock Prompt Management allows creating parameterized prompt templates with variables.
Multi-Region Support: Bedrock services work across multiple AWS Regions.
IAM Policies for Approval Permissions: IAM can control who has approval permissions.

Why Other Options Don't Work:

A: Amazon Bedrock Studio doesn't provide the robust governance features needed. CloudWatch is for monitoring, not governance workflows. DynamoDB and Lambda would require custom implementation.

C: AWS Step Functions could create workflows, but S3 tags are not proper version control. This would be a custom solution lacking the integrated governance features.

D: Amazon SageMaker Canvas is for no-code ML, not prompt management. CloudFormation is for infrastructure as code, not prompt versioning. AWS Config is for resource compliance, not approval workflows.

Key Features of Amazon Bedrock Prompt Management:

Prompt Template Management: Store, version, and manage prompt templates
Approval Workflows: Built-in approval processes with notifications
Audit Logging: Integration with CloudTrail for comprehensive audit trails
Parameterization: Support for variables in prompts for consistency
Cross-Region Access: Templates can be used across multiple regions
Access Control: IAM integration for permission management

This solution provides a fully integrated, managed service specifically designed for prompt governance, eliminating the need for custom implementations that would be complex to maintain and scale.

Explanation:

Explanation

Correct Answer: B

Amazon Bedrock Prompt Management is specifically designed for managing prompt templates with version control, approval workflows, and audit trails. Here's why option B meets all requirements:

Key Requirements Met:

Version Control: Amazon Bedrock Prompt Management provides built-in version control for prompt templates.
Approval Workflows with Notifications: The service includes approval workflows with notification capabilities.
Detailed Audit Trails: AWS CloudTrail provides comprehensive audit logging of all API calls and activities.
Consistent Prompt Parameterization: Bedrock Prompt Management allows creating parameterized prompt templates with variables.
Multi-Region Support: Bedrock services work across multiple AWS Regions.
IAM Policies for Approval Permissions: IAM can control who has approval permissions.

Why Other Options Don't Work:

A: Amazon Bedrock Studio doesn't provide the robust governance features needed. CloudWatch is for monitoring, not governance workflows. DynamoDB and Lambda would require custom implementation.

C: AWS Step Functions could create workflows, but S3 tags are not proper version control. This would be a custom solution lacking the integrated governance features.

Key Features of Amazon Bedrock Prompt Management:

Prompt Template Management: Store, version, and manage prompt templates
Approval Workflows: Built-in approval processes with notifications
Audit Logging: Integration with CloudTrail for comprehensive audit trails
Parameterization: Support for variables in prompts for consistency
Cross-Region Access: Templates can be used across multiple regions
Access Control: IAM integration for permission management

This solution provides a fully integrated, managed service specifically designed for prompt governance, eliminating the need for custom implementations that would be complex to maintain and scale.

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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?

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DDucse

Last updated: March 23, 2026 at 10:35

Configure Amazon Bedrock Studio prompt templates. Use Amazon CloudWatch dashboards to display prompt usage metrics. Store approval status in Amazon DynamoDB. Use AWS Lambda functions to enforce approvals.

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Use Amazon Bedrock Prompt Management to implement version control. Configure AWS CloudTrail for audit logging. Use AWS Identity and Access Management policies to control approval permissions. Create parameterized prompt templates by specifying variables.