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Databricks Certified Data Engineer Professional · Databricks
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- Correct answer : A — `system.lakeflow.job_task_run_timeline`, since it records per-task duration columns for both single-task and multi-task jobs. A . This table records per-task duration metrics for every job, and is the recommended source for multi-task jobs since it captures each task's own setup, queue, and execution duration. B . Its duration columns are documented as populated only for single-task jobs; for a multi-task job it does not give reliable per-task figures, so it does not satisfy the requirement. C . This table tracks task configuration such as dependencies and timeouts, not run-time duration metrics, so it cannot produce the requested average execution and queue times. D . This table holds job-level metadata like trigger type and schedule, not per-task or per-run duration figures, so it does not answer the reporting question.