How would you conduct load testing for a streaming data pipeline built with Azure Databricks processing data from Event Hubs to ensure it can handle peak data volumes?

Real Exam

Deploy a custom data generator in AKS to produce data streams, utilizing Azure Monitor for performance metrics.

4.8%

Manually insert data into Event Hubs and observe the processing in Databricks, adjusting volumes to simulate peak loads.

3.2%

Configure Azure Load Testing service to mimic real-time data ingestion patterns, analyzing performance in Databricks.

69.8%

Use Apache JMeter to simulate Event Hubs data streams and monitor pipeline metrics in Databricks.

22.2%

Databricks Certified Data Engineer - Professional