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Amazon·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Apr 2026

Summary

Amazon SWE coding round with a tree serialization problem. Pretty standard but the implementation details can trip you up if you're not careful with edge cases.

Questions Asked (1)

Q1

Given a binary tree, write code to serialize it into a string and then deserialize that string back into the original tree structure, returning the root node.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

The problem looks clean on paper but the null handling is where things get messy.

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AI HintsAI Generated

Suggested Approach

Choose a traversal order (preorder or level-order) that allows unambiguous reconstruction, and use a delimiter and null marker to encode the tree into a string. Then implement the inverse process by parsing the string and recursively or iteratively rebuilding the tree.

Pro tip: Discuss trade-offs between preorder and level-order serialization, and mention how to handle edge cases like empty trees and large trees to show production readiness.

1. Clarify requirements and constraints

Ask about the tree's properties (e.g., binary search tree, complete tree), expected input size, and whether the serialized string needs to be human-readable or compact.

2. Choose a serialization strategy

Select a traversal order (e.g., preorder) and define a format using delimiters and a null marker (e.g., '#' for null, ',' as delimiter).

3. Implement serialization

Write a function that traverses the tree and appends node values and null markers to a string, ensuring proper handling of empty trees.

4. Implement deserialization

Write a function that parses the string (e.g., using a queue or index pointer) and reconstructs the tree recursively or iteratively.

5. Test and discuss trade-offs

Walk through examples, test edge cases (empty tree, skewed tree), and compare your approach with alternatives like level-order serialization.

Key Points to Mention

  • Choice of traversal order (preorder vs. level-order) and its impact on reconstruction
  • Use of delimiters and null markers to handle missing children
  • Handling edge cases: empty tree, single node, skewed tree
  • Time and space complexity: O(n) time and O(n) space for both operations
  • Recursive vs. iterative implementation and potential stack overflow concerns
  • Trade-offs: readability vs. compactness, and suitability for different use cases

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