How can you effectively stress test a Databricks-managed Delta Lake to evaluate its performance under high concurrency?

Real Exam

Develop a custom load testing framework using Apache JMeter, configuring it to execute concurrent Delta Lake operations from multiple virtual users

15.3%

Utilize Databricks notebooks to parallelize data operations, dynamically increasing the number of notebook instances to simulate user load

9.4%

Implement a simulation using Databricks jobs and clusters, adjusting cluster sizes and job configurations to mimic real-world operational loads

17.6%

Leverage Azure Load Testing service, creating scripts that perform a mix of read and write operations on the Delta Lake, scaling up to simulate high concurrency

57.6%

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How can you effectively stress test a Databricks-managed Delta Lake to evaluate its performance under high concurrency?