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DatabricksCertified Generative AI Engineer Associate

Domain 2Objective 1

Apply a Chunking Strategy for a Given Document Structure and Model Constraints 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 19 practice questions to prepare you well beyond it. (estimate)

19questions here
4free pages
5concepts

Questions 11–15

  1. 11expert · hard

    A team is building a RAG system for a large book. The book has a continuous narrative with no headings or chapters. The target model has a context window of 2048 tokens. They are using a fixed-size chunking strategy with a chunk size of 1000 tokens and an overlap of 100 tokens. During evaluation, they find that the system fails to answer questions about events that span more than 1000 tokens. What is the most effective way to improve the system's performance?

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  2. 12foundation · easy

    When evaluating chunk quality, which characteristic indicates that a chunk is coherent?

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  3. 13foundation · easy

    A document is being chunked for a model with a 2,048-token context window. The application also needs to include a 500-token system prompt. What is the maximum safe chunk size?

    Select an answer first
  4. 14foundation · easy

    When choosing chunk boundaries, which practice best preserves the meaning of the text?

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  5. 15foundation · easy

    A data engineer is preparing a technical manual for chunking. The manual contains chapters, sections, paragraphs, tables, and code blocks. Which initial step is most important for informing the chunking strategy?

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