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To enhance the scheduling of multiple data pipeline jobs in Databricks by leveraging historical performance data, which tool or feature would you use for a thorough analysis of past job executions?
A
Utilizing Azure Machine Learning to forecast job execution times based on historical data
B
Manual examination and analysis of past job performance via the Databricks job runs page
C
Employing the Azure Databricks Jobs API to gather historical execution data for analysis
D
Connecting Azure Databricks with Azure Log Analytics for an in-depth analysis of job metrics and execution logs
