Hi PK -
The feature transformation pipeline for a DataRobot model is included in the model package. For scoring, the only steps you need to replicate are those you did outside of DataRobot when you originally created the project. Steps internal to the project (imputing missing values or one-hot encoding, for example) will be done at scoring time internally in the DataRobot model.
The model itself is most commonly hosted via the Prediction API on dedicated scoring resources on a DataRobot cluster. This API can be used in a real-time approach and can be used for batch scoring input csv files through various supporting tools and capabilities the platform provides.
It is possible to export the model to external infrastructure. If this is performed, additional steps need to take place to monitor that externally deployed model for the metrics that show up under model management, including features like tracking drift over time.
There are 3 methods of exporting this model:
Note the exportable options are available depending on the licensing of the platform; although these options are not available in the AI Platform Trial.