← Bytedance Interview Insights

Bytedance·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jun 2026Remote

Summary

Bytedance coding interview for a Software Engineer role. One algorithmic question that I couldn't fully crack, and I left feeling pretty bad about it. Also worth knowing: they've moved to Feishu for everything now, including live coding.

Questions Asked (1)

Q1

Given an N-ary tree, find the number of paths that sum to a given target value. The path does not need to start or end at the root or a leaf.

Algorithms & Data Structures
Author's notes

This is basically LeetCode 437 but with an N-ary tree instead of a binary one.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Use a depth-first traversal while maintaining a prefix sum map to count paths that sum to the target. At each node, compute the current prefix sum and check how many times (current sum - target) has occurred in the map, then add the current sum to the map before recursing into children and remove it after backtracking.

Pro tip: Clarify that the path must go downwards (parent to child) and mention that the prefix sum map approach is optimal for this problem, avoiding the O(N^2) brute-force method. Also, discuss how to handle large trees and potential integer overflow.

1. Clarify problem constraints

Confirm that paths must go downwards (from ancestor to descendant) and that the tree can be large, so an efficient solution is needed. Ask about the range of node values and target to handle potential overflow.

2. Choose traversal and data structure

Select depth-first search (DFS) for traversal and a hash map to store prefix sums and their frequencies. This allows O(1) lookups for the required complement.

3. Define recursive function

Write a DFS function that takes the current node, the current prefix sum, and the prefix sum map. At each node, update the prefix sum and check for paths ending at this node.

4. Backtrack and update map

After processing the current node, recurse into all children, then remove the current prefix sum from the map to ensure it only reflects the current path.

5. Analyze complexity and edge cases

State that time complexity is O(N) and space is O(N) for the map and recursion stack. Discuss edge cases like empty tree, target zero, and negative values.

Key Points to Mention

  • Prefix sum technique: maintain cumulative sum from root to current node.
  • Hash map to store frequency of prefix sums for O(1) complement lookup.
  • Backtracking: remove current prefix sum after processing children to avoid affecting other branches.
  • Time and space complexity: O(N) time, O(N) space in worst case.
  • Handling of large integers and potential overflow.
  • Comparison with brute-force O(N^2) approach to highlight efficiency.

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