Validate graph valid BST

Last updated: January 15, 2026

Quick Overview

Given a binary tree, implement a function to determine if it is a valid binary search tree (BST). A valid BST is defined as a tree where for each node, all values in its left subtree are less than the node's value, and all values in its right subtree are greater. The function should return a boolean indicating whether the tree satisfies this property.

Anduril
Coding & Algorithms
Software Engineer
Anduril
January 15, 2026
Software Engineer
Technical Screen
Coding & Algorithms
Medium

29

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2,896 solved


Given a binary tree, implement a function to determine if it is a valid binary search tree (BST). A valid BST is defined as a tree where for each node, all values in its left subtree are less than the node's value, and all values in its right subtree are greater. The function should return a boolean indicating whether the tree satisfies this property.

Coding interviews at Anduril focus on problem-solving approach as much as the final solution. The interviewer wants to see you break down the problem, consider edge cases, and optimize iteratively. Communication throughout the process is key.

What the Interviewer Expects
  • Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
  • Discuss multiple approaches and trade-offs before coding
  • Implement an optimal solution with clean, production-quality code
  • Handle all edge cases including boundary conditions and invalid input
  • Optimize both time and space complexity with clear justification
  • Test your solution systematically with well-chosen examples
Key Topics to Cover
Edge cases and input validation
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Graph algorithms and traversal
Dynamic programming and memoization
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • How would you test this solution thoroughly?
  • How would you modify your solution to handle streaming input?
  • What happens if the input contains duplicates?
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Problem Analysis

To determine if a binary tree is a valid binary search tree (BST), we can use the properties of BSTs where all values in the left subtree of a node are less than the node's value, and all values in th...

Approach
  1. Define a recursive function that takes a node and two parameters representing the valid range of values for that node. The initial call will have the entire range of valid values (negative infinity...

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