What is a key difference between a Decision Tree and a Random Forest?

A$.$ Decision Trees are less prone to overfitting compared to Random Forests.

B$.$ Random Forest is an ensemble of Decision Trees, whereas Decision Tree uses a single tree structure.

C$.$ Random Forest requires more computational resources than Decision Trees.

D$.$ Decision Trees are primarily used for regression tasks, while Random Forest is used for classification tasks.