A model is trained on one-hot encoded columns, but serving sends raw categorical strings directly to the estimator. What is the primary issue?

1. Train-serving preprocessing skew; deploy the compatible transformation with the model.
2. Insufficient model registry description length.
3. Raw strings are always interchangeable with one-hot numeric vectors.
4. The model needs only a longer HTTP timeout.