Explanation:
The run_id is the canonical, globally unique identifier for a specific execution of a Databricks job.
databricks jobs run-now --job-id 123, the system returns a run_id (e.g., 456). This ID is unique to that specific run and is used in subsequent API or CLI calls to monitor status, retrieve logs, or cancel the execution.run_id is not a counter, nor is it derived from the job_id via concatenation. Furthermore, it is distinct from the job_id, which refers to the static configuration/definition of the job rather than a specific instance of its execution.Ultimate access to all questions.
After initiating a job using the Databricks CLI and receiving a JSON response containing a run_id, what does this specific identifier represent?
A
It serves as a globally unique identifier for that specific execution instance of the job.
B
It is a concatenation of the job_id and the number of times the job has been triggered.
C
It represents the total execution count of all jobs within the workspace at that moment.
D
It is an alias for the job_id that refers back to the job's definition.
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