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Answer: Each run of a job will have a unique run_id; all tasks within this job will have a unique task_id, Each run of a job will have a unique run_id; all tasks within this job will also have a unique run_id
In Databricks, each job run is assigned a unique `run_id`. Each task within a job is defined with a unique `task_key` (task_id), which is part of the job's configuration and remains consistent across runs. However, when a task is executed (e.g., a notebook task), it generates its own unique `run_id` for that specific execution. The Jobs API response structure reflects this: the parent job run has a unique `run_id`, and each task within the run includes both its static `task_key` and a dynamically generated `run_id` for its execution. Thus, both statements D and E correctly describe aspects of the response structure.
Author: LeetQuiz Editorial Team
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When using the CLI or REST API to retrieve results from jobs containing multiple tasks, which statement accurately describes the structure of the response?
A
Each run of a job will have a unique job_id; all tasks within this job will have a unique job_id
B
Each run of a job will have a unique job_id; all tasks within this job will have a unique task_id
C
Each run of a job will have a unique orchestration_id; all tasks within this job will have a unique run_id
D
Each run of a job will have a unique run_id; all tasks within this job will have a unique task_id
E
Each run of a job will have a unique run_id; all tasks within this job will also have a unique run_id
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