
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 4)
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 16–20
- 16
A data analyst wants to identify areas where an AI/BI Genie space could be improved based on user experience. Which source of information is most relevant?
Select an answer first - 17
A data science team has created a benchmark set of 100 questions to validate an AI/BI Genie space. After a recent update to the underlying data, the team runs the benchmark and finds that accuracy dropped from 90% to 80%. The team suspects the drop is due to schema changes in the Unity Catalog. What should the team do to confirm this hypothesis?
Select an answer first - 18
A marketing team wants to improve their AI/BI Genie space. They have noticed that users often ask about 'customer lifetime value' but the Genie space does not have a clear definition. The team has also identified that the 'customers' table is missing some key columns. What should the team do to address both the definition and the data issue?
Select an answer first - 19
Which type of information is most useful for identifying recurring themes in how users interact with an AI/BI Genie space?
Select an answer first - 20
A data analyst wants to understand which topics users most frequently ask about in an AI/BI Genie space. Which action directly supports this goal?
Select an answer first
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