DATABRICKS-CEA Question 19

Question

A context engineer operates a finance Q&A agent on Databricks. The agent invokes a Genie space backed by tables in the finance.silver schema, and Genie selects which table to query for each user question by reading Unity Catalog table and column metadata. Two tables exist in the schema: revenue and revenue_gross. MLflow evaluation runs show the Correctness scorer flagging frequent failures where Genie queries revenue_gross when the user asks about net revenue, and queries revenue when the user asks about gross figures. Both tables are in active production use and must remain available to the Genie space, and the same disambiguation should be usable by other Genie spaces and BI consumers building against the same schema. Which intervention resolves the failure?
A. Add COMMENT text on both tables and their columns in Unity Catalog that clearly distinguishes the two tables – what each represents, the units, and the basis, so Genie reads the disambiguating descriptions when routing each user question.
B. Apply a Unity Catalog certified-status tag to revenue and a deprecated-status tag to revenue_gross so that downstream consumers treat revenue as the authoritative source.
C. Add a Genie space instruction at the space level stating which table to use for net-revenue questions and which to use for gross-revenue questions, so Genie applies the rule when routing each user question.
D. Apply a custom Unity Catalog tag categorizing one table as the primary revenue source and the other as a secondary view, so Genie’s tool selection prefers the primary.

Accepted Answer

Marked answer: A. Add COMMENT text on both tables and their columns in Unity Catalog that clearly distinguishes the two tables – what each represents, the units, and the basis, so Genie reads the disambiguating descriptions when routing each user question.

DATABRICKS-CEA Question 19

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DATABRICKS-CEA Question 19