How can a data analyst determine if query results were pulled from the cache?

Question

Options

• AGo to the Query History tab and click on the text of the query. The slideout shows if the results
• BGo to the Alerts tab and check the Cache Status alert.
• CGo to the Queries tab and click on Cache Status. The status will be green if the results from the
• DGo to the SQL Warehouse (formerly SQL Endpoints) tab and click on Cache. The Cache file will
• EGo to the Data tab and click Last Query. The details of the query will show if the results came

• A
  78% (21)
• B
  7% (2)
• D
  4% (1)
• E
  11% (3)

Explanation

Option A is correct because Databricks SQL's Query History tab is the designated place to inspect query execution details. When you click on a specific query's text, a slideout panel appears that includes metadata about how the query was executed - including whether the results were served from cache rather than computed fresh.

The distractors describe features or tabs that either don't exist in Databricks SQL or don't serve this function: there is no "Cache Status" alert in an Alerts tab (B), no "Cache Status" button under a Queries tab (C), no cache file viewable from the SQL Warehouse tab (D), and the Data tab does not surface query execution metadata like cache status (E) - these are all invented or misplaced interfaces.

Memory tip: Think "History = How it happened." The Query History tab tells you the history of how results were retrieved - including whether the cache did the heavy lifting. If you want to know what happened with a query, Query History is always your first stop.

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