PracHub
QuestionsPremiumLearningGuidesInterview PrepNEWCoaches
|Home/Coding & Algorithms/NVIDIA

Apply sliding window techniques

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's understanding and application of the sliding window technique for array and string problems, including designing fixed versus dynamic windows, algorithmic complexity analysis, and handling constraints for contiguous sums and distinct-character counts.

  • Medium
  • NVIDIA
  • Coding & Algorithms
  • Software Engineer

Apply sliding window techniques

Company: NVIDIA

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Onsite

Explain the sliding window technique and apply it to solve: ( 1) Given an array of positive integers and a target S, return the minimal length of a contiguous subarray with sum ≥ S (or 0 if none); ( 2) Given a string and an integer K, return the length of the longest substring containing at most K distinct characters; Analyze time and space complexity and when to use fixed vs. dynamic windows.

Quick Answer: This question evaluates a candidate's understanding and application of the sliding window technique for array and string problems, including designing fixed versus dynamic windows, algorithmic complexity analysis, and handling constraints for contiguous sums and distinct-character counts.

Related Interview Questions

  • Compute the Final Robot Score - NVIDIA (easy)
  • Return all file paths via DFS - NVIDIA (easy)
  • Implement a disk space manager with eviction - NVIDIA (medium)
  • Implement encode/decode for list of strings - NVIDIA (easy)
  • Implement short algorithms on logs, grids, and strings - NVIDIA (hard)
NVIDIA logo
NVIDIA
Aug 7, 2025, 12:00 AM
Software Engineer
Onsite
Coding & Algorithms
5
0

Explain the sliding window technique and apply it to solve: (

  1. Given an array of positive integers and a target S, return the minimal length of a contiguous subarray with sum ≥ S (or 0 if none); (
  2. Given a string and an integer K, return the length of the longest substring containing at most K distinct characters; Analyze time and space complexity and when to use fixed vs. dynamic windows.

Comments (0)

Sign in to leave a comment

Loading comments...

Browse More Questions

More Coding & Algorithms•More NVIDIA•More Software Engineer•NVIDIA Software Engineer•NVIDIA Coding & Algorithms•Software Engineer Coding & Algorithms
PracHub

Master your tech interviews with 7,500+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities
  • Student Access

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.