Which is true about the creation of a Decision Tree?

Each variable is evaluated at each node to determine the splitting variable.

All of these are correct.

A stopping criterion in creating a Decision Tree is when the tree has pure leaves.

Entropy reduction $($information gain$)$ is a common splitting method.

The same variable may be used for splitting at different locations in the Decision Tree.