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Databricks Certified Data Engineer Associate · Databricks
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
- Correct answer : A — Databricks aggregates query-level performance metrics for only the first 100 queries in a run, so later queries are excluded. A . This is correct because Databricks aggregates query-level performance metrics across only the first 100 queries within a run, so a task issuing 150 queries will have its later queries fall outside that aggregation window and therefore lack insight badges. B . This is incorrect because performance insight badges are not gated on whether a table is Unity Catalog managed versus external; the limiting factor described for this feature is the count of queries per run, not the storage type queried. C . This is incorrect because the expected completion time is a separate duration-threshold warning on the overall run and has no effect on whether individual queries receive performance insight badges. D . This is incorrect because performance insight badges, the Timeline view, and per-query aggregation are serverless-specific capabilities in the first place; the scenario already states the task ran on serverless compute, so cluster type is not the explanation.