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AIP-C01 · Study Guide

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

1.3.4 · Lesson 11 of 28

Enhance input data quality

Improve the information given to the FM before inference. Examples:

WHAT

Improve the information given to the FM before inference.

Examples:

  • normalize names
  • extract entities
  • standardize terminology
  • reformat text
  • remove irrelevant content
  • enrich metadata

AWS services

  • Amazon Bedrock
  • Amazon Comprehend
  • AWS Lambda

Example

Raw customer text
       ↓
Entity extraction
       ↓
Normalization
       ↓
Structured representation
       ↓
FM

WHY

Cleaner, more structured input can improve consistency and reduce ambiguity.

EXAM TRAP

Input enhancement is not the same as hallucination-producing enrichment.

Only add trusted information.

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Key points

  • Cleaner, more structured input can improve consistency and reduce ambiguity.

Exam focus

Focus on requirement-driven choices and common architecture traps.

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