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 3)

Questions 11–15

1. 11application · medium

   A retail company's AI/BI Genie space answers questions about product sales. Stakeholders have provided feedback that the Genie space sometimes uses the 'returns' table instead of the 'net_sales' table, leading to incorrect answers. The team has also received feedback that the instructions are too vague. What should the team do to address both issues?

   • AOnly update the instructions to be more specific about which table to use.
   • BOnly update the trusted assets to remove the 'returns' table.
   • CUpdate the trusted assets to prioritize the 'net_sales' table and update the instructions to clarify the data source.
   • DRefresh the Unity Catalog metadata for both tables.
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2. 12foundation · easy

   Which item is an example of a trusted asset in an AI/BI Genie space?

   • AThe cluster's instance type
   • BThe workspace admin's email address
   • CThe Genie space's display name
   • DA Unity Catalog table containing customer data
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4. 13foundation · easy

   Stakeholders report that an AI/BI Genie space often gives overly technical answers. Which action directly addresses this feedback?

   • AIncreasing the cluster size for the Genie space
   • BUpdating the instructions in the Genie space to request simpler language
   • CAdding more tables to the Unity Catalog
   • DChanging the workspace region
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5. 14application · medium

   A sales team's AI/BI Genie space uses a 'leads' table that is missing some new columns added by the data engineering team. The Genie space is also returning inaccurate results for questions about lead sources. The team has confirmed that the new columns are available in Unity Catalog. What should the team do to ensure the Genie space uses the updated table?

   • AAsk the data engineering team to recreate the 'leads' table from scratch.
   • BRefresh the Unity Catalog metadata for the 'leads' table in the Genie space.
   • CReplace the 'leads' table with a different table that has the new columns.
   • DUpdate the instructions to manually describe the new columns.
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6. 15application · medium

   An operations team has an AI/BI Genie space for logistics. They want to understand which questions are most frequently asked and whether users are satisfied with the responses. The team has access to the Genie space's usage logs and feedback data. What is the best way to identify the most common questions and their satisfaction levels?

   • ARefresh the Unity Catalog metadata to ensure the Genie space is using the latest data.
   • BRun a benchmark test with a set of predefined questions to see which are answered correctly.
   • CAsk users to manually report their questions and satisfaction in a spreadsheet.
   • DAnalyze the usage logs to find the most frequent questions and correlate them with feedback ratings.
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