Candidates for this exam should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.
Responsibilities for this role include designing and creating a suitable working environment for data science workloads; exploring data; training machine learning models; implementing pipelines; running jobs to prepare for production; and managing, deploying, and monitoring scalable machine learning solutions.
A candidate for this exam should have knowledge and experience in data science by using Azure Machine Learning and MLflow.