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How can you effectively monitor and alert on unusual user activities within the Databricks environment?
A
Implement custom anomaly detection algorithms within your Spark jobs to monitor user activities.
B
Rely on manual reviews of Databricks audit logs to identify potentially anomalous behavior.
C
Integrate Databricks with Azure Sentinel to analyze and detect unusual access patterns or data queries.
D
Utilize Azure Monitor with Kusto Query Language (KQL) queries to identify and alert on deviations from normal activity.
