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Solve sliding window and tree BFS problems

Last updated: Mar 29, 2026

Quick Overview

This question evaluates algorithmic problem-solving and data-structure manipulation, focusing on the sliding window technique for array subproblems and iterative breadth-first search for binary tree level-order traversal, with emphasis on time and space complexity reasoning.

  • Medium
  • Meta
  • Coding & Algorithms
  • Software Engineer

Solve sliding window and tree BFS problems

Company: Meta

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Technical Screen

1) Sliding window: Given an array of positive integers nums and an integer target, return the minimal length of a contiguous subarray whose sum is at least target; return 0 if no such subarray exists. Aim for O(n) time and O( 1) extra space using a sliding window. 2) Tree BFS: Given the root of a binary tree, return a list of lists of node values representing the tree’s level-order traversal from left to right (nodes within each level listed left to right). Provide an iterative BFS implementation and analyze time and space complexity.

Quick Answer: This question evaluates algorithmic problem-solving and data-structure manipulation, focusing on the sliding window technique for array subproblems and iterative breadth-first search for binary tree level-order traversal, with emphasis on time and space complexity reasoning.

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Meta
Sep 6, 2025, 12:00 AM
Software Engineer
Technical Screen
Coding & Algorithms
1
0
  1. Sliding window: Given an array of positive integers nums and an integer target, return the minimal length of a contiguous subarray whose sum is at least target; return 0 if no such subarray exists. Aim for O(n) time and O(
  2. extra space using a sliding window.
  3. Tree BFS: Given the root of a binary tree, return a list of lists of node values representing the tree’s level-order traversal from left to right (nodes within each level listed left to right). Provide an iterative BFS implementation and analyze time and space complexity.

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