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Apple·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Apple SWE coding round, one question on binary trees. Pretty standard algorithmic interview, nothing too surprising about the format.

Questions Asked (1)

Q1

Given the root of a binary tree of integers, find the maximum path sum.

Algorithms & Data Structures
Author's notes

Classic tree DP problem but I always second-guess myself on whether the path has to pass through the root or not.

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AI HintsAI Generated

Suggested Approach

Use a recursive post-order traversal to compute the maximum path sum. At each node, calculate the maximum gain from its left and right subtrees, update the global maximum path sum considering the node as the highest point, and return the maximum gain the node can contribute to its parent.

Pro tip: Clarify that the path can start and end at any node, and handle negative values by ignoring negative gains (using max(0, gain)). This shows attention to edge cases and robustness.

1. Clarify the problem

Confirm that the path can start and end at any node, may not pass through the root, and that nodes can have negative values. Ask if a single node is considered a valid path.

2. Define recursive function

Define a helper function that returns the maximum gain from a subtree rooted at a given node, where the gain is the maximum sum of a path starting at that node and going down to any node in its subtree.

3. Compute gains and update global max

For each node, recursively compute the left and right gains, ignoring negative gains (use max(0, gain)). Update the global maximum path sum with the sum of the node's value plus both gains.

4. Return the gain to parent

Return the node's value plus the maximum of its left and right gains (since a path cannot split when going up). This represents the best gain the node can contribute to its parent.

5. Analyze complexity and edge cases

State that the time complexity is O(n) and space complexity is O(h) due to recursion. Discuss edge cases like a single node, all negative values, and skewed trees.

Key Points to Mention

  • Post-order traversal (bottom-up recursion)
  • Global variable to track maximum path sum
  • Ignoring negative gains by using max(0, gain)
  • Path can start and end at any node, not necessarily through the root
  • Time complexity O(n) and space complexity O(h)
  • Handling edge cases: single node, all negative values, skewed tree

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.