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AIP-C01 · Study Guide

← Domain 1: Foundation Model Integration, Data Management, and Compliance

1.4.2 · Lesson 13 of 28

Metadata frameworks

Store metadata alongside chunks/embeddings. Examples:

WHAT

Store metadata alongside chunks/embeddings.

Examples:

  • document ID
  • author
  • department
  • creation date
  • update date
  • product
  • region
  • access classification
  • document type

WHY

Metadata improves:

  • filtering
  • relevance
  • access control
  • freshness
  • context awareness

Example

{
  "document_id": "policy-123",
  "department": "finance",
  "region": "us",
  "updated_at": "2026-08-01",
  "classification": "internal"
}

AWS

  • Amazon S3 metadata/tags
  • OpenSearch metadata
  • DynamoDB
  • Bedrock Knowledge Bases metadata/filtering patterns

EXAM TRAP

Semantic similarity alone may return a semantically similar but unauthorized or outdated document.

Metadata filters can address those dimensions.

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Key points

  • filtering
  • relevance
  • access control
  • freshness
  • context awareness

Exam focus

Focus on requirement-driven choices and common architecture traps.

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