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Answer: Guardrails for Amazon Bedrock
## Explanation **Guardrails for Amazon Bedrock** is the correct feature for setting tone, topic, and safety limits to prevent biased or non-compliant statements. ### Why Guardrails for Amazon Bedrock is correct: 1. **Safety Controls**: Guardrails provide configurable safety filters to detect and filter harmful content 2. **Content Filtering**: They can block or mask sensitive topics, inappropriate content, and biased statements 3. **Tone Management**: Guardrails help maintain appropriate tone and language for specific use cases 4. **Compliance Alignment**: Essential for regulated industries like banking to ensure compliance with financial regulations ### 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 safety controls - **C) Agents for Bedrock**: This feature enables conversational agents to complete tasks using APIs and knowledge bases, not specifically for safety guardrails - **D) Continued pre-training**: This refers to further training foundation models on specific datasets, which is a model customization approach rather than a safety control feature ### Key Points: - Guardrails are specifically designed to implement safety policies and content filters - They help organizations meet compliance requirements in regulated industries - Guardrails can be customized to block specific topics, filter profanity, and detect sensitive information - This is particularly important for financial institutions like banks that must avoid biased or non-compliant outputs
Author: Ritesh Yadav
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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
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