A workflow prepares data, trains a model, evaluates it, and conditionally registers the candidate. Which orchestration approach fits?

1. Replace the workflow with a static diagram only
2. Run every step independently with no shared artifact identity
3. Register a model before checking that training succeeded
4. A versioned ML pipeline with explicit dependencies and quality conditions