AWS Certified AI Practitioner
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A company wants to enable its Bedrock-based chatbot to access internal policies stored in Amazon S3. The content must be automatically indexed and converted into embeddings. Which Bedrock feature provides this capability?
Real Exam
Community
JJin
A
Bedrock Agents
B
Knowledge Bases for Amazon Bedrock
C
Bedrock Guardrails
D
Amazon Comprehend
Explanation:
Explanation
Knowledge Bases for Amazon Bedrock is the correct answer because it provides the capability to automatically index and convert content from various data sources (including Amazon S3) into embeddings for use with Bedrock-based chatbots.
Why Knowledge Bases for Amazon Bedrock is correct:
- Automatic indexing: Knowledge Bases can automatically ingest, process, and index documents from Amazon S3
- Embedding generation: It converts the content into vector embeddings using Amazon Titan or other embedding models
- RAG (Retrieval Augmented Generation): Enables chatbots to retrieve relevant information from the knowledge base to provide accurate responses
- S3 integration: Specifically designed to work with Amazon S3 as a data source
Why other options are incorrect:
- A) Bedrock Agents: These are for orchestrating multi-step tasks and workflows, not specifically for indexing and embedding content
- C) Bedrock Guardrails: These are for implementing safety and content filtering controls, not for document indexing
- D) Amazon Comprehend: This is a separate AWS service for natural language processing, not a Bedrock feature for indexing and embedding content
Knowledge Bases for Amazon Bedrock is specifically designed to solve this exact use case - enabling chatbots to access and retrieve information from company documents stored in S3.
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