How can you monitor job progress in Databricks?

Monitoring job progress in Databricks is most effectively done via the Jobs interface. The Jobs interface provides a dedicated space where users can view all the jobs that have been created, including detailed information about their current status, execution history, and progress metrics. This functionality allows users to track the state of their jobs—whether they are running, completed, or failed—providing insights into resource utilization and execution times.

The other options, while related to various features within Databricks, do not serve primarily as tracking mechanisms for job progress. The Dashboard interface is usually focused on visualizing data and results rather than monitoring job execution. The Job Completion Report does offer information on completed jobs but is more of a reporting feature than an interactive monitoring tool. Lastly, the Data Lake interface is centered around data storage and management rather than job execution and monitoring. Thus, the Jobs interface stands out as the most suitable option for tracking job progress efficiently.