Databricks Certified Data Engineer - Professional
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Which of the following components of a job are associated with viewing run history and debugging?
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A
Task
B
Monitor
C
Cluster
D
Schedule
Explanation:
Explanation
In Databricks jobs, the Monitor component is specifically designed for viewing run history and debugging purposes. Here's why:
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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.
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Task: Represents the actual work being performed (e.g., notebooks, JARs, Python scripts)
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Cluster: Defines the compute resources where tasks execute
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Schedule: Controls when and how often the job runs
The Monitor component is essential for operational visibility and debugging workflows in Databricks job management.
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