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Bytedance·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

One coding round at Bytedance for a software engineer role, just a single LeetCode problem and that was it.

Questions Asked (1)

Q1

Solve LeetCode 1110: Delete Nodes And Return Forest.

Algorithms & Data Structures
Author's notes

Tree problem, not the hardest thing in the world but you need to think carefully about when to cut a node and what to do with its children.

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AI HintsAI Generated

Suggested Approach

Use a post-order DFS to process children first, then decide whether to delete the current node. When deleting a node, add its non-null children as new roots to the result list; otherwise, return the node to its parent.

Pro tip: Clarify edge cases upfront, such as deleting the root or multiple consecutive deletions, and discuss how the algorithm handles them. This shows thoroughness and prevents bugs during implementation.

1. Understand the problem and clarify edge cases

Restate the problem: given a binary tree and a set of values to delete, return the forest of remaining trees. Ask about edge cases like deleting the root, empty tree, or deleting all nodes.

2. Choose the traversal strategy

Select post-order DFS because it processes children before the parent, allowing you to know if a node's children become new roots when the node is deleted.

3. Implement the recursive function

Write a DFS function that returns the node if not deleted, or null if deleted. If deleted, add its non-null children to the result list.

4. Handle the root and build the forest

After DFS, if the root is not deleted, add it to the result list. The result list now contains all roots of the forest.

5. Analyze complexity and test

State time and space complexity: O(n) time and O(h) space for recursion. Walk through a small example to verify correctness.

Key Points to Mention

  • Post-order traversal ensures children are processed before parent.
  • Use a set for O(1) deletion checks.
  • When a node is deleted, its children become new roots if they are not null.
  • Handle the root separately after DFS.
  • Time complexity O(n), space complexity O(h) for recursion stack.
  • Edge cases: deleting root, deleting all nodes, empty tree.

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