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Databricks Certified Data Engineer Professional · Databricks
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,B,F - Correct answer s : A, B, F — Values supplied in `job_parameters` for the repair request take precedence over the parameter values that were used in the original failed run.; Setting `rerun_all_failed_tasks` to true tells the service to re-execute every task that did not complete successfully in the prior attempt.; Submitting `rerun_tasks` with an explicit list of task keys lets the caller target specific tasks instead of relying on the failed-task detection. A . Correct: parameters passed in the repair request override the values from the original attempt for the tasks being re-executed, which is exactly how the Repair job run dialog's override behavior works when driven through the API. B . Correct: this boolean flag reruns every task that did not succeed in the prior attempt, which is the API equivalent of letting the service auto-detect failed and canceled tasks rather than listing them manually. C . Incorrect: `latest_repair_id` is only required as a safeguard when repairing a run that has already been repaired at least once, so it does not need to reference anything on a run's very first repair attempt. D . Incorrect: task parameters can be overridden on any repair attempt, and clearing an overridden field on a later repair returns that parameter to its original value rather than the setting being locked after one use. E . Incorrect: a repair request only changes the parameter values used for that specific repaired run; it does not mutate the job definition's stored default parameters used by future runs. F . Correct: `rerun_tasks` accepts specific task keys so the caller can target exactly which tasks to re-execute, as an alternative to the automatic failed-task or dependent-task detection flags.