A model development team needs reproducible experiments with training parameters, artifacts, and comparable metrics. Which approach best fits?

1. Use controlled managed development environments and least-privilege identities.
2. Version or snapshot the training data and record its lineage.
3. Establish shared documented feature definitions and validated transformations.
4. Track experiment metadata and versioned artifacts.