Which option correctly explains Data augmentation in a neural-network workflow? Choose the technically accurate option.

A. Data augmentation means deleting all training images B. Data augmentation is used only after deployment C. Data augmentation makes validation unnecessary D. Data augmentation creates modified training examples to improve robustness