Height of Binary Tree — DSA Technical Interview Questions & Answers
Height of Binary Tree
Height of Binary Tree
- Height of Binary Tree is a DSA topic. In plain words you use it for folder on disk in a file explorer. Don’t start with a slogan — start with that picture.
- Smallest example: left < root < right. Type it, run it, and say what you see. If you can do that from memory, you know Height of Binary Tree.
- From the example next to this theory: Height of Binary Tree — inorder walks left → node → right (sorted order for a BST).
- Trap: unbalanced BST becoming a list. Fix that before you talk about advanced DSA.
- Viva: what is Height of Binary Tree? Then show left < root < right. Then name the trap.
Technical Interview Tip: What is Height of Binary Tree? Show this: left < root < right. Trap: unbalanced BST becoming a list.
Code Examples for Height of Binary Tree
Height of Binary Tree — working example
class Node:
def __init__(self, val, left=None, right=None):
self.val, self.left, self.right = val, left, right
def inorder(n):
if not n:
return []
return inorder(n.left) + [n.val] + inorder(n.right)
root = Node(2, Node(1), Node(3))
print(inorder(root))Height of Binary Tree — inorder walks left → node → right (sorted order for a BST).
How to Explain Height of Binary Tree to an Interviewer
What is Height of Binary Tree?
Used for folder on disk a file explorer Not just the heading
Give one small example of Height of Binary Tree.
left < root < right Height of Binary Tree — inorder walks left → node → right (sorted order for a BST)
What mistake do beginners make with Height of Binary Tree?
unbalanced BST becoming a list Show the fix
Where do you use Height of Binary Tree?
a file explorer folder on disk