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Meta·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Meta SWE coding round, one algorithmic question on trees. Pretty standard stuff but worth knowing cold if you're prepping for this loop.

Questions Asked (1)

Q1

Given a binary tree and two nodes, find their lowest common ancestor.

Algorithms & Data Structures
Author's notes

Classic tree problem.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem: confirm whether the tree is a binary search tree or a general binary tree, and whether nodes have parent pointers. For a general binary tree, use a recursive post-order traversal that returns the node if it matches either target, otherwise recurses into left and right subtrees; the first node where both sides return non-null is the LCA. Discuss time and space complexity, and mention iterative or parent-pointer alternatives if applicable.

Pro tip: Meta interviewers value clean, bug-free code and clear communication. Before coding, walk through a small example to validate your logic, and after coding, test edge cases like one node being an ancestor of the other or nodes not present in the tree.

1. Clarify the problem

Ask whether the tree is a BST or a general binary tree, whether nodes have parent pointers, and whether both nodes are guaranteed to be in the tree. This determines the optimal approach.

2. Choose an approach

For a general binary tree without parent pointers, use a recursive post-order traversal. If parent pointers exist, you can find the intersection of paths to the root. For a BST, you can use the BST property to guide the search.

3. Explain the algorithm

Describe the recursive function: if the current node is null or matches either target, return the current node. Recurse left and right; if both return non-null, the current node is the LCA; otherwise return the non-null child.

4. Analyze complexity

State that the time complexity is O(n) in the worst case, as each node is visited once, and space complexity is O(h) for the recursion stack, where h is the tree height.

5. Test with examples

Walk through a simple tree with nodes, including edge cases: one node is the ancestor of the other, nodes are in different subtrees, or one node is missing. Verify the algorithm returns the correct LCA.

Key Points to Mention

  • Definition of LCA: the lowest node in the tree that has both given nodes as descendants (a node can be a descendant of itself).
  • Recursive post-order traversal approach: return node if it matches either target, otherwise combine results from left and right subtrees.
  • Handling edge cases: one node is an ancestor of the other, nodes not present in the tree, or tree is empty.
  • Time and space complexity: O(n) time, O(h) space for recursion (or O(1) if using parent pointers and iterative approach).
  • Alternative approaches: using parent pointers to find intersection of paths, or using BST properties if applicable.
  • Importance of clarifying assumptions: whether nodes are guaranteed to exist, whether tree is BST, and whether parent pointers are available.

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