Databricks Certified Data Engineer - Professional

Explanation

In Databricks jobs, the Monitor component is specifically designed for viewing run history and debugging purposes. Here's why:

• Monitor: This component provides access to job run details, execution logs, metrics, and debugging information. It allows you to track job performance, identify failures, and troubleshoot issues.

• Task: Represents the actual work being performed (e.g., notebooks, JARs, Python scripts)

• Cluster: Defines the compute resources where tasks execute

• Schedule: Controls when and how often the job runs

The Monitor component is essential for operational visibility and debugging workflows in Databricks job management.