What are the limitations of Deep Learning?

At the moment I'm reading a book about the different training models and their flexibility-interpretability.

I was wondering how we can achieve incredible performance with deep learning models without understanding the functioning behind. Furthermore, I would like to ask whether it is right to consider the difficult interpretability of these models as their main limitation.

(I'm a beginner, sorry for the trivial questions)