AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are implementing a RAG solution where documents contain complex hierarchical headings. To ensure search chunks retain sufficient context about which section they belong to, what chunking strategy should you adopt?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Hierarchical (parent-child) chunking retaining section headers
Hierarchical chunking or parent-child chunking retains parent section headings and metadata within smaller searchable child chunks, preserving document context.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fixed-size character chunking with zero overlap
Why it's wrong here
Zero overlap fixed-size chunking frequently cuts sentences and headings in half, losing hierarchical context.
- ✗
Random token sampling without structural awareness
Why it's wrong here
Random sampling destroys document flow and logical coherence.
- ✗
Single-chunk whole document ingestion
Why it's wrong here
Ingesting entire documents as single chunks exceeds context limits and degrades retrieval precision.
- ✓
Hierarchical (parent-child) chunking retaining section headers
Why this is correct
Parent-child chunking links small child chunks to larger parent chunks or headers, maintaining context during retrieval.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.