11. Maximum Depth of Binary Tree
easyAsked at SoFiReturn the height of a binary tree — SoFi uses this as a starter to verify candidates can write clean DFS, since loan-portfolio risk trees can grow deep across guarantor chains.
By Alex Chen, Founder, InterviewChamp.AI · Last verified
Problem
Given the root of a binary tree, return its maximum depth. A binary tree's maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.
Constraints
Number of nodes is in range [0, 10^4]-100 <= Node.val <= 100
Examples
Example 1
[3,9,20,null,null,15,7]3Example 2
[1,null,2]2Approaches
1. Brute force BFS
Level-order traversal incrementing a counter per level.
- Time
- O(n)
- Space
- O(n)
function maxDepth(root) {
if (!root) return 0;
let q = [root], d = 0;
while (q.length) {
q = q.flatMap(n => [n.left, n.right].filter(Boolean));
d++;
}
return d;
}Tradeoff:
2. Recursive DFS
Depth is 1 plus the max of depths of left and right subtrees, with base 0 for null.
- Time
- O(n)
- Space
- O(h)
function maxDepth(root) {
if (!root) return 0;
return 1 + Math.max(
maxDepth(root.left),
maxDepth(root.right)
);
}Tradeoff:
SoFi-specific tips
SoFi prefers recursive DFS for its readability — portfolio risk calculations propagate up the dependency tree the same way (each parent aggregates children's exposure).
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