How can you effectively diagnose intermittent failures in a data pipeline through advanced monitoring?

Real Exam

Utilizing complex event processing in Azure Stream Analytics to detect anomalies and trigger detailed logging in Databricks

6.6%

Setting up Azure Databricks to stream logs to Azure Event Hubs and correlate with Azure Monitor alerts for real-time analysis

57.5%

Implementing a custom solution that uses Azure Functions to analyze logs in real-time and apply machine learning for prediction of failures

12.3%

Configuring Azure Monitor for Databricks with a custom dashboard to visualize failure patterns and trigger in-depth analysis on demand

23.6%

Databricks Certified Data Engineer - Professional