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How would you design a custom anomaly detection system to identify unusual patterns in your data pipeline processing logs within Azure Databricks?
A
Implementing a custom logging framework in Azure Databricks notebooks to detect anomalies and alert via email
B
Using Azure Monitor for basic anomaly detection without custom model implementation
C
Streaming logs to Azure Event Hubs, processing them with Azure Databricks to identify anomalies using machine learning models, and visualizing results in Power BI
D
Capturing logs in Azure Blob Storage, using Databricks for periodic analysis with custom models, and reporting anomalies through Azure Logic Apps
