Model Lineage Tracking Quiz

What you'll be asked

1. What is the primary purpose of model lineage tracking in a machine learning lifecycle?
2. When registering a new model version in a Model Registry, which metadata is typically considered best practice to include to ensure effective lineage?
3. If a model deployed in production starts performing poorly, how does model lineage help in the troubleshooting process?
4. What is the primary risk of failing to enforce model versioning in an enterprise ML pipeline?
5. In a complex pipeline where a model is trained on a synthetic dataset generated by a previous model, which aspect of lineage is most critical to avoid 'data leakage' or 'feedback loops'?

Answers and explanations come after you submit.