AI0-001 Implementing AI Solutions Practice Question
A team is implementing a RAG system for legal document retrieval. The documents are long (50-100 pages) with clear section headings. They want to ensure that retrieved chunks are semantically coherent and respect document structure. Which chunking strategy is MOST appropriate?
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 chunking: first split by sections, then further split each section into fixed-size chunks with overlap
Hierarchical chunking preserves document structure by first splitting into sections, then further into chunks, maintaining semantic coherence.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Semantic chunking based on sentence embeddings
Why it's wrong here
Semantic chunking can group similar sentences but may not respect document structure like section headings.
- ✗
Fixed-size chunking with 256 tokens and no overlap
Why it's wrong here
Fixed-size chunking can break mid-sentence or mid-section, losing semantic coherence.
- ✗
Recursive character text splitting with chunk size 1000 and chunk overlap 200
Why it's wrong here
Recursive splitting attempts to keep paragraphs together but may not preserve section boundaries as well as hierarchical.
- ✓
Hierarchical chunking: first split by sections, then further split each section into fixed-size chunks with overlap
Why this is correct
Hierarchical chunking respects the document structure and provides coherent chunks within sections.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.