A model must use the same feature definitions during training and scoring. Which practice reduces inconsistency?

1. Use training-time column names but ignore their meanings at inference
2. Track feature lookups and use the supported feature engineering model workflow
3. Rewrite each feature independently in every client application
4. Replace all missing online features with the training target