When applying deep learning to real-world data, how should CNN pooling be understood? Choose the technically accurate option.

A. Pooling is the same as dropout B. Pooling changes class labels C. Pooling reduces spatial dimensions while keeping important features D. Pooling increases image resolution in every layer