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Google·Software Engineer·Technical Phone Screen·Senior

Senior
Jun 2026

Summary

Google SWE interview with a tree-based problem that looked like a clean recursion exercise until the follow-up hit. The efficiency angle is where it got real.

Questions Asked (1)

Q1

You're given a boolean expression tree where leaves hold true/false values and internal nodes are logical operators (AND, OR, XOR, NOT). A sequence of leaf flips is applied one at a time, each toggling a leaf's value. After every flip, return the new root value. The catch: nodes don't store parent pointers, so you have to figure out the path yourself, and you should avoid recomputing the whole tree on each flip.

Algorithms & Data StructuresTechnical Trade-offsSystem Design
Author's notes

The base problem wasn't bad.

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AI HintsAI Generated

Suggested Approach

First, clarify the problem constraints and edge cases. Then, propose an efficient solution by precomputing parent pointers or using a recursive evaluation with memoization to update only affected nodes. Finally, discuss trade-offs and potential optimizations.

Pro tip: Mention that you can preprocess the tree to add parent pointers in O(n) time, which simplifies updates to O(depth) per flip. This shows you think about upfront costs versus per-operation efficiency.

1. Clarify the problem

Ask about tree size, number of flips, and whether the tree structure is static. Confirm that only leaf values change and that we need the root value after each flip.

2. Design the data structure

Propose augmenting the tree with parent pointers or storing the path from each leaf to the root. Alternatively, use a recursive function that returns the new value and propagates changes upward.

3. Outline the algorithm

For each flip, update the leaf's value, then traverse from that leaf up to the root, recomputing each ancestor's value based on its children. Stop early if a node's value doesn't change.

4. Analyze complexity

Preprocessing takes O(n) time and space. Each flip takes O(h) time where h is the height of the tree, which is optimal in the worst case. Discuss whether early termination can improve average performance.

5. Discuss trade-offs and extensions

Compare with recomputing the whole tree (O(n) per flip). Mention that if the tree is balanced, O(log n) per flip is efficient. Also consider handling NOT nodes with single children.

Key Points to Mention

  • Preprocessing the tree to add parent pointers or store paths
  • Updating only the affected path from leaf to root
  • Early termination when a node's value remains unchanged
  • Time complexity: O(n) preprocessing, O(h) per flip
  • Space complexity: O(n) for parent pointers or path storage
  • Handling of unary operators like NOT

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