Which of the following best describes the execution of a scheduled task in Databricks?

The best description of a scheduled task in Databricks is that it refers to a job running in the background. Scheduled tasks in Databricks are configured jobs that execute periodically based on a defined schedule. These jobs can involve running notebooks, executing SQL queries, or performing other workflows that do not require manual initiation.

This means that once a job is scheduled, Databricks takes care of automatically executing it at the specified intervals without needing further intervention from the user. This allows organizations to automate processes like data transformation or reporting, which can seamlessly integrate into data pipelines.

While other choices involve automation, they do not accurately capture the essence of a scheduled task. For instance, a notebook running automatically could refer to interactive execution rather than the batch processing environment in which jobs run. A cluster being deployed is a one-time task related to resource allocation and does not necessarily imply a scheduled or repetitive action. A dashboard refreshing data describes the updating of visualizations rather than the execution of an entire job with a defined schedule.