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To effectively monitor and analyze the performance of a data pipeline in Azure Databricks for identifying bottlenecks, which method should you employ?
A
Implementing custom logging within Databricks notebooks to send metrics to an external monitoring solution
B
Using Azure Monitor with Databricks to collect metrics and logs, and view them in Azure Dashboard
C
Enabling Databricks audit logs and analyzing them in Azure Log Analytics
D
Setting up Databricks to send metrics directly to an Azure Storage account for manual analysis
