
DatabricksCertified Generative AI Engineer Associate
Domain 2Objective 4
Define Operations and Sequence to Write Given Chunked Text into Delta Lake Tables in Unity Catalog GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 1)
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 1–5
- 1
A team is writing chunked text to a Delta Lake table in Unity Catalog. They need to ensure that the table is accessible from a different Databricks workspace in the same region. What should they do?
Select an answer first - 2
A team is building a RAG application that indexes a large corpus of legal documents. The documents are long and contain complex legal jargon. They need to chunk the text in a way that preserves context and avoids splitting important clauses. Which chunking strategy should they use?
Select an answer first - 3
A team is writing chunked text to a Delta Lake table in Unity Catalog. They want to ensure that only the 'data_engineers' group can write to the table, while 'analysts' can only read it. What should they do?
Select an answer first - 4
A data engineer is writing a large DataFrame of chunked text to a Delta Lake table in Unity Catalog. The write operation is failing due to a schema mismatch. They need to write the data without altering the existing table schema. Which approach should they take?
Select an answer first - 5
How does Unity Catalog manage and secure Delta Lake tables?
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