Before deploying a new data ingestion pipeline into production, you need to benchmark its performance. Which tool or approach would you use to simulate real-world data loads and measure ingestion rates and latency?

Real Exam

Create a custom simulation in Databricks notebooks that generates data at varying loads and measures ingestion times directly.

10.4%

Manually inject data using Azure Data Factory and monitor the ingestion performance through Databricks Spark UI.

6.5%

Utilize Apache JMeter to generate data ingestion requests to the pipeline and monitor performance metrics in Azure Monitor.

53.2%

Employ Azure Load Testing service to simulate high-volume data ingestion and capture performance metrics using Databricks‘ built-in monitoring.

29.9%

Databricks Certified Data Engineer - Professional