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How can you effectively monitor and analyze high-resolution metrics for microservices within Databricks notebooks that interact with external APIs, focusing on latency and error tracking?
A
Leverage Databricks event logs enhanced with custom tags for microservices, enabling detailed performance analysis in Azure Log Analytics.
B
Implement custom logging within notebooks and utilize Databricks' native logging features for analysis.
C
Connect to Azure Application Insights using its SDK to gather and examine custom telemetry directly from notebooks.
D
Transfer logs to a specialized Azure Monitor log analytics workspace, optimized for high-resolution metrics.
