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

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

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

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