Design Retrieval Systems Using Advanced Chunking Strategies GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   What is the primary advantage of recursive character text splitting over fixed-size chunking?

   • AIt splits text at natural boundaries like paragraphs and sentences, creating more semantically coherent chunks.
   • BIt automatically generates metadata for each chunk based on the document structure.
   • CIt produces chunks of exactly the same size, which is easier to store.
   • DIt is faster because it does not require calculating overlap.
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   What is a key trade-off when choosing a larger chunk size for a retrieval system?

   • ALarger chunks increase the number of embeddings needed but improve the semantic coherence of each chunk.
   • BLarger chunks always lead to higher retrieval precision because they contain more context.
   • CLarger chunks have no effect on retrieval quality; only the embedding model matters.
   • DLarger chunks reduce the number of embeddings needed but may include irrelevant information that lowers retrieval precision.
   Reveal Solution Discussion Select an answer first
4. 23expert · hard

   A team is building a RAG system over a mix of documents: some are well-structured with clear paragraphs, others are messy with irregular line breaks. They need a chunking strategy that works well for both types. They also want to minimize the number of chunks to reduce embedding costs. Which approach should they use?

   • AUse semantic chunking for all documents.
   • BUse document-based chunking by page breaks.
   • CUse recursive character text splitting with a list of separators, starting with double newlines and falling back to single newlines and periods.
   • DUse fixed-size chunking with a large chunk size to handle both document types.
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A healthcare startup is building a retrieval system over clinical trial documents. The documents contain long, technical sections that mix eligibility criteria, study design, and adverse events. The team wants chunks that group related sentences together, even if the related sentences are not adjacent in the text. They are willing to spend more compute on chunking. Which chunking strategy best meets this requirement?

   • ARecursive character text splitting with paragraph separators.
   • BFixed-size chunking with a large chunk size to capture more context per chunk.
   • CDocument-based chunking by section headings.
   • DSemantic chunking using embedding similarity to group sentences that are contextually related.
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   In recursive character text splitting, what happens if a separator is not found within the maximum chunk size?

   • AThe chunk size is automatically increased to accommodate the text.
   • BThe text is split at the exact character limit, ignoring natural boundaries.
   • CThe chunk is discarded because it cannot be split properly.
   • DThe algorithm moves to the next separator in the list and tries to split there.
   Reveal Solution Discussion Select an answer first