Model Packaging Formats Quiz

What you'll be asked

1. Which of the following is considered the primary purpose of using a standardized model packaging format like MLflow Model or ONNX?
2. When registering a model, why is it recommended to include a 'conda.yaml' or 'requirements.txt' file within the model package?
3. You have a model trained in PyTorch and need to deploy it to a high-performance C++ inference engine. Which format is most appropriate?
4. What is a major security risk associated with using Python's native 'pickle' format for serializing ML models?
5. In a robust MLOps pipeline, why is 'Model Signatures' (defining input and output schemas) critical during model registration?

Answers and explanations come after you submit.