Why would you want to add a max pooling layer rather than a convolutional layer with the same stride?

Question $4$ options:

If your GPU runs out of memory while training

A max pooling layer has no parameters at all, whereas a convolutional layer has quite a few

To reduce dimensionality using a larger stride in one layer

A convolutional pooling layer has no parameters at all, whereas a max layer has quite a few