A repeatable ML workflow must prepare features, train, evaluate, and register only acceptable models. Which resource should orchestrate it?

1. A Data Science pipeline with explicit steps and quality gates
2. A model description listing the intended stages
3. One public prediction request
4. A collection of untracked manual notebook clicks