A key difference between traditional Machine Learning $($ML$)$ and Deep Learning $($DL$)$ is in how features are extracted. Which of the following statements are true? I. Traditional ML approaches use handcrafted engineering features by applying several feature extraction algorithms, and then apply the learning algorithms II$.$ In the case of DL$,$ features are learned automatically and represented hierarchically in multiple levels.

A$.$ Statements I and II

B$.$ Only Statement II

C$.$ Only Statement I

D$.$ None.