AWS Certified Cloud 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
RRitesh
0
A
Knowledge Bases for Amazon Bedrock
B
Agents for Amazon Bedrock
C
Model Evaluation for Amazon Bedrock
D
Guardrails for Amazon Bedrock
Explanation:
Explanation
Knowledge Bases for Amazon Bedrock is the correct answer because it provides the capability to:
- Automatically index documents stored in Amazon S3
- Convert content into embeddings for semantic search
- Enable retrieval-augmented generation (RAG) for chatbots
- Connect to various data sources including S3 buckets
How it works:
- Documents are automatically ingested from Amazon S3
- Content is chunked and converted into vector embeddings
- Embeddings are stored in a vector database
- The chatbot can then query this knowledge base to retrieve relevant information
Why other options are incorrect:
- Agents for Amazon Bedrock: Focuses on orchestrating multi-step tasks and API calls, not document indexing
- Model Evaluation for Amazon Bedrock: Used for testing and comparing model performance
- Guardrails for Amazon Bedrock: Provides content filtering and safety controls, not document processing
This feature enables the chatbot to access and reference internal policies stored in S3, making it contextually aware of company-specific information.
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