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Find k most frequent elements, discuss O(n)

Last updated: Mar 29, 2026

Quick Overview

This question evaluates algorithmic problem-solving skills focused on frequency analysis and selection, measuring competency in designing algorithms and reasoning about time and space complexity.

  • Medium
  • Meta
  • Coding & Algorithms
  • Software Engineer

Find k most frequent elements, discuss O(n)

Company: Meta

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Technical Screen

Given an integer array nums of length n and an integer k (1 ≤ k ≤ number of distinct values in nums), return any ordering of the k values with the highest frequencies. Describe a baseline approach and analyze its time and space complexity. Follow-up: Can you achieve expected O(n) time and O(n) extra space? Explain the data structures you would use and implement that approach.

Quick Answer: This question evaluates algorithmic problem-solving skills focused on frequency analysis and selection, measuring competency in designing algorithms and reasoning about time and space complexity.

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Meta
Jul 27, 2025, 12:00 AM
Software Engineer
Technical Screen
Coding & Algorithms
2
0

Given an integer array nums of length n and an integer k (1 ≤ k ≤ number of distinct values in nums), return any ordering of the k values with the highest frequencies. Describe a baseline approach and analyze its time and space complexity. Follow-up: Can you achieve expected O(n) time and O(n) extra space? Explain the data structures you would use and implement that approach.

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