AWS Certified Cloud Practitioner
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A health-tech organization needs to add conversation safety checks to their Bedrock-powered chatbot to avoid harmful responses. Which Bedrock feature helps them achieve this?
Real Exam
Community
RRitesh
0
A
Request throttling
B
Bedrock Guardrails
C
Amazon Kendra Indexing
D
Fine-tuning Titan Embeddings
Explanation:
Explanation
Bedrock Guardrails is the correct answer because it is specifically designed to implement safety controls and content filters for AI applications built with Amazon Bedrock.
Key Features of Bedrock Guardrails:
- Content Filtering: Filters harmful or inappropriate content based on configurable policies
- Safety Controls: Prevents the generation of unsafe, biased, or toxic responses
- Customizable Policies: Allows organizations to define their own safety guidelines and thresholds
- Real-time Protection: Monitors and filters both input prompts and output responses
Why Other Options Are Incorrect:
- A. Request throttling: This is about managing API request rates and preventing abuse, not content safety
- C. Amazon Kendra Indexing: This is a search and document indexing service, not a conversation safety feature
- D. Fine-tuning Titan Embeddings: This involves customizing AI models for specific tasks, not implementing safety checks
For a health-tech organization dealing with sensitive medical information, Bedrock Guardrails provides essential protection against harmful or inappropriate chatbot responses while maintaining compliance with healthcare regulations.
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