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Q3. A healthcare AI startup wants to build a chatbot that references sensitive medical data but must comply with HIPAA privacy standards. Which AWS feature helps ensure safe deployment of generative-AI applications?
Real Exam
Community
JJin
A
Knowledge Bases for Amazon Bedrock
B
Guardrails for Amazon Bedrock
C
Fine-tuning foundation models
D
AWS Lambda event filters
Explanation:
Explanation:
Guardrails for Amazon Bedrock is specifically designed to help ensure safe and responsible deployment of generative AI applications. It provides features for:
- Content filtering - Detects and filters harmful content across categories like hate speech, insults, sexual content, and violence
- Denied topics - Blocks undesirable topics that are not aligned with your application's purpose
- PII redaction - Automatically detects and redacts personally identifiable information (PII)
- Word filters - Blocks specific words or phrases
For healthcare applications that must comply with HIPAA (Health Insurance Portability and Accountability Act), Guardrails for Amazon Bedrock is essential because:
- HIPAA requires protection of Protected Health Information (PHI)
- Guardrails can automatically detect and redact PHI from chatbot responses
- It helps prevent accidental disclosure of sensitive medical data
- It ensures the chatbot operates within compliance boundaries
While Knowledge Bases for Amazon Bedrock (Option A) helps with retrieval-augmented generation, and fine-tuning (Option C) customizes models, neither specifically addresses compliance and safety features like Guardrails does. AWS Lambda event filters (Option D) are unrelated to AI safety and compliance.
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