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AI0-001 Implementing AI Solutions Practice Question

Which chunking strategy for RAG is MOST appropriate when documents have a natural hierarchical structure (e.g., sections, subsections)?

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 that preserves document structure

Hierarchical chunking respects the document structure, preserving context and enabling retrieval at different levels (e.g., section or paragraph).

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Hierarchical chunking that preserves document structure

    Why this is correct

    Hierarchical chunking maintains the document's section and subsection organization, improving retrieval relevance.

  • Fixed-size chunking with no overlap

    Why it's wrong here

    Fixed-size chunks ignore natural boundaries, potentially splitting context across chunks and reducing coherence.

  • Semantic chunking based on sentence boundaries

    Why it's wrong here

    Semantic chunking keeps sentences together but does not capture higher-level hierarchical structure.

  • Random chunking with varying sizes

    Why it's wrong here

    Random chunking destroys any meaningful structure and leads to poor retrieval quality.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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