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In a scenario where the latency of your data pipeline directly affects user experience, which method provides real-time monitoring of this latency to facilitate immediate troubleshooting and optimization?
A
Streaming job execution logs to Azure Event Hubs and using a real-time analytics service to monitor latency
B
Using the Databricks Spark UI‘s event timeline and job execution details to manually track job latency
C
Configuring Azure Application Insights to track and alert on latency metrics for data processing jobs in Databricks
D
Implementing custom metrics within your data processing jobs in Databricks to track and report latency to Azure Monitor
