Normalising deployment data

after training a dataset with random forest predictor, I want to deploy with a new dataset. (not from the 30% partitioning). I used the normalisation node for my trained data before partitioning. When I deploy my new dataset and connect it to the random forest predictor, do I need to normalise the new dataset as well?

Note; I used smote to train my data after partitioning it.