Load testing of endpoint in Azure ML and data sanity tests

I wanted to load test a deployed model endpoint and add it to an MLOps v2 framework, so that new deployed models can go through load testing. I tried Azure load testing resource for web app but I think it is just for static content. Also, I saw a python package - locust which seems promising. Is there any other approach?
Also, for data sanity and integration tests for deployed models - great_expectations is available package. Is there a Azure service or recommended package for the same?