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?

Real Exam

Leverage Databricks event logs enhanced with custom tags for microservices, enabling detailed performance analysis in Azure Log Analytics.

27.9%

Implement custom logging within notebooks and utilize Databricks' native logging features for analysis.

11.0%

Connect to Azure Application Insights using its SDK to gather and examine custom telemetry directly from notebooks.

42.9%

Transfer logs to a specialized Azure Monitor log analytics workspace, optimized for high-resolution metrics.

18.2%

Databricks Certified Data Engineer - Professional