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Answer: Guardrails for Amazon Bedrock
## Explanation **Guardrails for Amazon Bedrock** is the correct answer because it is specifically designed to implement safety controls and content filters for AI applications. Here's why: ### Key Features of Guardrails for Amazon Bedrock: 1. **Content Filtering**: Blocks or filters out harmful, biased, or non-compliant content 2. **Topic Control**: Allows organizations to define acceptable and prohibited topics 3. **Tone Setting**: Helps maintain appropriate conversational tone for the application 4. **Safety Limits**: Implements guardrails to prevent the generation of inappropriate or non-compliant responses ### 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 setting safety limits. - **C) Agents for Bedrock**: This enables AI agents to perform multi-step tasks using tools and APIs, not for content safety controls. - **D) Continued pre-training**: This refers to further training foundation models on specific datasets, which doesn't directly address real-time safety filtering. ### Banking Context: For a bank deploying a chatbot, compliance and bias prevention are critical requirements. Guardrails for Amazon Bedrock provides the necessary controls to ensure the chatbot operates within regulatory boundaries and maintains appropriate professional standards.
Author: Jin H
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A bank is deploying a Bedrock chatbot that must avoid producing biased or non-compliant statements. Which Bedrock feature should be used to set tone, topic and safety limits?
A
Knowledge Bases for Amazon Bedrock
B
Guardrails for Amazon Bedrock
C
Agents for Bedrock
D
Continued pre-training