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DatabricksCertified Generative AI Engineer Associate

Domain 2Objective 7

Design Retrieval Systems Using Advanced Chunking Strategies GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 3)

Part of the Section 2: Data Preparation domain, which makes up ~25% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~9–15 in this domain), expect 1–2 from this objective — we provide 25 practice questions to prepare you well beyond it. (estimate)

25questions here
5free pages
7concepts

Questions 11–15

  1. 11application · medium

    A team is comparing document-based chunking (by sections) and semantic chunking for a RAG system over a technical manual. They want to know which strategy yields better retrieval performance for user queries. They have a set of queries with known relevant sections. Which metric should they use to compare?

    Select an answer first
  2. 12foundation · easy

    How does a sliding window approach help in context-aware chunking?

    Select an answer first
  3. 13foundation · easy

    How does semantic chunking determine where to split text?

    Select an answer first
  4. 14foundation · easy

    What does the 'recall' metric measure in the context of evaluating a retrieval system?

    Select an answer first
  5. 15foundation · easy

    Which of the following best describes the output of fixed-size chunking?

    Select an answer first
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