A categorical encoder fails when production receives an unseen product category. Which design should be tested?

1. Drop arbitrary feature columns until prediction succeeds
2. Refit the encoder on each request and keep the old model
3. Map unknown categories to the target label
4. A documented unknown-category strategy fitted with the training pipeline