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DatabricksCertified Data Analyst Associate

Domain 7Objective 4

Optimize AI/BI Genie Spaces by Tracking User Questions, Response Accuracy, and Feedback; Updating Instructions and Trusted Assets Based on Stakeholder Input; Validating Accuracy with Benchmarks; Refreshing Unity Catalog Metadata. DATA-ANALYST-ASSOCIATE Practice Questions (Page 6)

Part of the Section 7: Developing, Sharing, and Maintaining AI/BI Genie spaces domain, which makes up ~11% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~4–7 in this domain), expect 1–2 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)

29questions here
6free pages
7concepts

Questions 26–29

  1. 26foundation · easy

    A stakeholder asks that an AI/BI Genie space always include a disclaimer about data freshness. How should the analyst implement this request?

    Select an answer first
  2. 27application · medium

    A healthcare analytics team uses an AI/BI Genie space to answer questions about patient readmission rates. They have been collecting user feedback for a month. The feedback indicates that users are confused by the term 'readmission' and often ask for clarification. The team has also noticed that a benchmark question about readmission rates is frequently answered incorrectly. What should the team do to address this recurring issue?

    Select an answer first
  3. 28foundation · easy

    Why is it important to refresh Unity Catalog metadata for objects used by an AI/BI Genie space?

    Select an answer first
  4. 29application · medium

    A data team has an AI/BI Genie space that uses a 'sales' table. The table's schema was recently changed in Unity Catalog, and the Genie space is now returning errors for some questions. The team has verified that the new schema is correct. What is the most likely cause of the errors, and what should the team do?

    Select an answer first
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