Databricks Certified Data Engineer - Professional
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In a scenario where you are working as a Data Engineer for a company that uses Azure Databricks for processing large datasets, you are tasked with updating the schedule of a Databricks job via the REST API to accommodate a new business requirement. The job processes critical financial data and must comply with strict data governance policies. Given the constraints of minimizing downtime and ensuring compliance, which of the following steps would you take to update the job's schedule? Choose the best option that includes the correct REST API endpoint and the required parameters. (Choose one option)
A
Use the '/2.0/jobs/update' endpoint with the 'job_id' and 'new_schedule' parameters to update the job's schedule, ensuring to include the 'timezone' parameter to comply with global data governance policies.
B
Use the '/2.0/jobs/schedule' endpoint with the 'job_id' and 'new_schedule' parameters to update the job's schedule, and include a 'compliance_check' parameter to ensure the new schedule meets data governance requirements._
C
Use the '/2.0/jobs/runs/schedule' endpoint with the 'run_id' and 'new_schedule' parameters to update the job's schedule, and specify the 'data_governance_level' parameter to adhere to compliance standards.
D
Use the '/2.0/jobs/schedule/update' endpoint with the 'job_id' and 'new_schedule' parameters to update the job's schedule, and include the 'compliance_mode' parameter to automatically adjust the schedule based on governance policies._