An analyst runs a query in Databricks SQL and wants to understand why it is slower than expected. She opens the Query Profile and sees that one node shows a very high ratio of rows output compared to rows input. What does this typically indicate?

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B. A Cartesian or misconfigured join is producing data explosion. In the Query Profile, a node that outputs significantly more rows than it receives as input typically indicates a join that is producing many more rows than expected — commonly a cross join (Cartesian product) or a join condition that is misconfigured, matching many rows on both sides. Filter pushdown reduces rows. Sort operations preserve row count. Warehouse size affects speed uniformly, not a specific explosion in row count at one node.

An analyst runs a query in Databricks SQL and wants to understand why it is slower than expected. She opens the Query Profile and sees that one node shows a very high ratio of rows output compared to rows input. What does this typically indicate?

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