ML Pipeline Orchestration Quiz

What you'll be asked

1. Which of the following best describes the primary goal of an ML pipeline orchestrator?
2. In a CI/CD for ML pipeline, what is the significance of 'Data Validation' as a distinct step?
3. Why is 'model versioning' a critical component of an automated ML CI/CD pipeline?
4. When implementing a CI/CD pipeline, what is the primary benefit of decoupling the training environment from the inference environment?
5. You are designing a pipeline that must handle 'training-serving skew'. Which orchestration strategy is most effective?

Answers and explanations come after you submit.