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Meta·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Apr 2026

Summary

Meta SWE coding round, one question on tree traversal. Pretty standard stuff but the complexity analysis at the end is where they actually pay attention.

Questions Asked (1)

Q1

Given a binary tree where each node holds a single digit, every root-to-leaf path spells out a number by concatenating the digits top to bottom. Return the sum of all such numbers across the entire tree.

Algorithms & Data Structures
Author's notes

I knew DFS was the move pretty quickly, carry a running number down each path and when you hit a leaf you add it to the total.

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AI HintsAI Generated

Suggested Approach

Use a depth-first search (DFS) traversal, passing the current accumulated number down the tree. At each leaf, add the accumulated number to a running sum. This avoids storing all paths and computes the sum in O(n) time.

Pro tip: Clarify the problem constraints upfront (e.g., tree size, digit range) and discuss potential integer overflow, suggesting a modulo or big integer handling if needed. Also, mention that an iterative DFS can avoid recursion depth issues for skewed trees.

1. Understand the problem

Restate the problem to confirm understanding: each root-to-leaf path forms a number; sum all such numbers. Ask clarifying questions about tree size, digit values, and expected output type.

2. Choose traversal strategy

Select DFS (preorder) to build numbers incrementally. Explain why DFS is suitable: it naturally maintains the path from root to current node.

3. Define recursive function

Design a helper function that takes a node and the current accumulated value. At each node, update the value as current * 10 + node.val. If leaf, return the value; else, recurse on children and sum results.

4. Handle edge cases

Consider an empty tree (return 0), a single node (return its value), and potential integer overflow for deep trees. Discuss using modulo or larger data types if necessary.

5. Analyze complexity and test

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

Key Points to Mention

  • Depth-first search (DFS) traversal
  • Accumulating the number by multiplying by 10 and adding the digit
  • Handling leaf nodes as base case
  • Time complexity O(n) and space complexity O(h)
  • Edge cases: empty tree, single node, skewed tree
  • Potential integer overflow and mitigation strategies

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