AWS Certified AI Practitioner · Free Practice Question Hard
Question 14
A healthcare application uses Amazon Bedrock agents to provide accurate answers about drug interactions. The agents frequently reference the latest clinical guidelines to ensure reliability. Which feature of Bedrock agents primarily enables this capability?
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A
Automatic sentiment analysis of user queries
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B
Integration with Amazon Comprehend Medical for entity extraction
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C
Real-time translation for multilingual support
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D
Knowledge base grounding using retrieval-augmented generation (RAG)
Reveal correct answer
Correct answer: D
Explanation
The capability enabling Amazon Bedrock agents to reference the latest clinical guidelines for accurate drug interaction responses is knowledge base grounding via retrieval-augmented generation (RAG).
Retrieval-Augmented Generation (RAG):
Bedrock agents use RAG to dynamically retrieve real-time data from external knowledge bases (e.g., clinical guidelines stored in Amazon OpenSearch Serverless). This ensures responses are based on the most current information, bypassing the limitations of static model training data.Why It Fits:
Dynamic Updates: The knowledge base can be continuously updated, allowing agents to access the latest guidelines without retraining the model.
Accuracy & Compliance: By grounding responses in authoritative sources, RAG minimizes errors and ensures reliability—critical for healthcare applications.
Key AWS Documentation
A.
Sentiment analysis focuses on emotional tone, not factual accuracy.
B.
While Comprehend Medical extracts medical entities, Bedrock’s knowledge base integration ensures up-to-date reference material.
C.
Translation is unrelated to leveraging clinical guidelines.
D.
Bedrock agents use RAG to pull context from curated knowledge bases (e.g., clinical guidelines) to ground responses in verified data, improving accuracy.
Discussion
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