Your question is Decision Tree Training Complexity. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What is the computational complexity of training a decision tree algorithm, and how does it scale with the number of features versus the number of samples?