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Snowflake·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Snowflake SWE coding round with a tree problem that had a twist I didn't fully expect going in.

Questions Asked (1)

Q1

Given a binary tree, determine whether the value of the root node equals the average value of all nodes across every subtree.

Algorithms & Data Structures
Author's notes

It's a tree averaging problem but the condition being on the root specifically threw me a bit.

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AI HintsAI Generated

Suggested Approach

Clarify the problem statement first, as it can be interpreted in two ways: either check if the root's value equals the average of all nodes in the entire tree, or check if for every subtree, the root's value equals the average of that subtree. Then, design a recursive post-order traversal that computes subtree sums and node counts, allowing you to compute averages and verify the condition efficiently in O(n) time.

Pro tip: Explicitly discuss the ambiguity in the question and propose solutions for both interpretations; this shows thoroughness and prevents you from solving the wrong problem. Also, mention that using integer division could cause precision issues, so compare using multiplication or floating-point with care.

1. Clarify the problem

Ask the interviewer to confirm whether the condition applies to the entire tree or to every subtree. This determines the algorithm's scope and avoids misinterpretation.

2. Define the recursive function

Design a post-order traversal that returns both the sum of values and the number of nodes in the subtree rooted at the current node.

3. Check the condition

At each node, compute the average of its subtree using the returned sum and count, then compare it to the node's value. If the condition is global, only check at the root; if per-subtree, check at every node.

4. Handle edge cases and precision

Consider empty trees, single-node trees, and avoid floating-point inaccuracies by using cross-multiplication (value * count == sum) or a tolerance-based comparison.

5. Analyze complexity

State that the solution runs in O(n) time and O(h) space for the recursion stack, where n is the number of nodes and h is the tree height.

Key Points to Mention

  • Post-order traversal to compute subtree sums and counts bottom-up.
  • Ambiguity: global average vs. per-subtree average condition.
  • Avoiding floating-point division by using multiplication for comparison.
  • Time complexity O(n) and space complexity O(h) due to recursion.
  • Handling edge cases: empty tree, single node, negative values.
  • Potential follow-up: iterative solution using a stack to avoid recursion overhead.

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