AIP-C01 · Question #28
A media company is launching a platform that allows thousands of users every hour to upload images and text content. The platform uses Amazon Bedrock to process the uploaded content to generate…
The correct answer is D. Create an AWS Step Functions workflow that uses built-in Amazon Bedrock guardrails to filter. Option D is the correct solution because it relies primarily on managed, purpose-built AWS services and minimizes custom infrastructure and model management. Amazon Bedrock guardrails provide native, configurable content safety controls that can block or redact disallowed…
Question
A media company is launching a platform that allows thousands of users every hour to upload images and text content. The platform uses Amazon Bedrock to process the uploaded content to generate creative compositions. The company needs a solution to ensure that the platform does not process or produce inappropriate content. The platform must not expose personally identifiable information (PII) in the compositions. The solution must integrate with the company's existing Amazon S3 storage workflow. Which solution will meet these requirements with the LEAST infrastructure management overhead?
Options
- AEnable the Enhanced Monitoring tool. Use an Amazon CloudWatch alarm to filter traffic to the
- BUse an Amazon API Gateway HTTP API with request validation templates to screen content
- CCreate an Amazon Cognito user pool that uses pre-authentication AWS Lambda functions to run
- DCreate an AWS Step Functions workflow that uses built-in Amazon Bedrock guardrails to filter
How the community answered
(27 responses)- A15% (4)
- B4% (1)
- C7% (2)
- D74% (20)
Explanation
Option D is the correct solution because it relies primarily on managed, purpose-built AWS services and minimizes custom infrastructure and model management. Amazon Bedrock guardrails provide native, configurable content safety controls that can block or redact disallowed content before or after model inference. This directly ensures that the platform does not process or produce inappropriate outputs while maintaining low operational overhead. Using Amazon Comprehend PII detection as a preprocessing step integrates cleanly with an Amazon S3-based ingestion workflow. Comprehend is a fully managed service that detects and optionally redacts PII in text without requiring custom models or pipelines. This ensures that sensitive information is removed before content is passed to Amazon Bedrock for generation. Amazon Rekognition image moderation is purpose-built for detecting unsafe or inappropriate visual content and integrates naturally into Step Functions workflows. Step Functions provides orchestration without requiring servers or long-running infrastructure, allowing the company to integrate text and image moderation steps in a clear, auditable pipeline.
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