In a classification problem, a data scientist is optimizing model hyperparameters using 3-fold cross-validation and a specific hyperparameter grid via grid search. The hyperparameter grid includes: Hyperparameter 1 with options [4, 6, 7] and Hyperparameter 2 with options [5, 10]. What is the total number of machine learning models that can be trained simultaneously during this process? Choose only ONE best answer.