AWS Certified Cloud Practitioner

Explanation

Guardrails for Amazon Bedrock is the correct answer because it is specifically designed to help organizations implement safeguards for generative AI applications. Here's why:

Key Features of Guardrails for Amazon Bedrock:

1. Content Filtering: Detects and filters harmful content across multiple categories including hate speech, insults, sexual content, violence, and misconduct

2. Bias Prevention: Helps identify and mitigate biases in AI responses

3. Compliance Controls: Allows organizations to define and enforce compliance policies specific to their industry requirements

4. Denied Topics: Enables blocking of undesirable topics or content areas

5. Word Filters: Provides customizable word/phrase filtering capabilities

Why Other Options Are Incorrect:

• A) Knowledge Bases for Amazon Bedrock: This feature is for connecting foundation models to company data sources for retrieval-augmented generation (RAG), not for content safety controls

• C) Continued pretraining: This refers to further training foundation models on specific datasets, which doesn't directly address real-time content filtering

• D) Prompt chaining: This is a technique for structuring complex prompts but doesn't provide built-in safety controls

Healthcare Compliance Context:

For healthcare applications dealing with patient data, Guardrails for Amazon Bedrock is essential because:

• It helps ensure HIPAA compliance by filtering inappropriate content

• Prevents generation of medical advice that could be harmful

• Maintains professional standards in patient interactions

• Reduces liability risks from inappropriate AI responses

The healthcare company should implement Guardrails for Amazon Bedrock to establish safety boundaries and compliance controls for their patient support chatbot.