Question: 1/50
You are planning an Azure Machine Learning project and must ensure that data scientists can reproduce results across runs. Which action BEST supports reproducibility?
Create an Azure Machine Learning job that logs metrics to the workspace
Register the model in the workspace model registry after training
Use a curated or custom environment with pinned package versions and run training from a versioned code repository
Deploy the model to a managed online endpoint with autoscaling enabled