
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
- 11
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 - 12
How does a sliding window approach help in context-aware chunking?
Select an answer first - 13
How does semantic chunking determine where to split text?
Select an answer first - 14
What does the 'recall' metric measure in the context of evaluating a retrieval system?
Select an answer first - 15
Which of the following best describes the output of fixed-size chunking?
Select an answer first
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