Sometimes Data Scientists use "Confidential" business datasets to perform ML experiments and ultimately train models as per the business problem statement. They have been asked to automate the whole process and create the MLOps pipeline, which runs in a highly secured environment (Managed System Identity) and automates consumption of "Confidential Dataset."
Below is a typical MLOps (Machine Learning Ops) pipeline. Steps in this pipeline can be set up using a YML file and stored in a GIT repository.