← Meta Interview Insights

Meta·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jun 2026

Summary

Meta SWE coding round, one question on LCA in a binary tree. Pretty standard tree problem but the edge cases can trip you up if you're not careful.

Questions Asked (1)

Q1

Given the root of a binary tree and two nodes p and q, find and return their Lowest Common Ancestor.

Algorithms & Data Structures
Author's notes

The second example is what gets people.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Clarify the problem constraints (e.g., whether nodes are guaranteed to exist, if parent pointers are available) and then present a recursive DFS solution that returns the LCA by checking if p and q are found in the left and right subtrees. Explain that if both are found in different subtrees (or one is the current node), the current node is the LCA. Also discuss iterative approaches and complexity trade-offs.

Pro tip: Mention that the recursive solution uses O(h) space due to the call stack, and if the tree is skewed, this could be O(n); an iterative approach with parent pointers can achieve O(1) space if parent pointers are available. This shows awareness of practical constraints.

1. Clarify the problem

Ask if p and q are guaranteed to be in the tree, if the tree is binary (not BST), and if parent pointers are available. Confirm the definition of LCA.

2. Outline the recursive approach

Explain that you'll traverse the tree, and at each node, check if the node is p or q. Recursively search left and right subtrees.

3. Define the base and recursive cases

Base case: if node is null or equals p or q, return node. Recursive: if both left and right return non-null, current node is LCA; otherwise return the non-null child.

4. Analyze complexity

Time complexity O(n) since each node is visited once. Space complexity O(h) for recursion stack, where h is tree height; worst-case O(n).

5. Discuss alternatives and edge cases

Mention iterative approaches using parent pointers or path finding, and handle cases where one node is ancestor of the other.

Key Points to Mention

  • LCA definition: deepest node that is an ancestor of both p and q.
  • Recursive DFS solution: return node if it matches p or q, combine results from left and right.
  • Time complexity O(n) and space complexity O(h) due to recursion stack.
  • Edge cases: p or q is the root, one is ancestor of the other, or nodes not present.
  • Alternative: iterative with parent pointers to achieve O(1) space if allowed.
  • Handling of skewed trees and potential stack overflow in recursion.

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