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Compare common data structures and uses

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's mastery of fundamental data structures, algorithmic time and space complexity, invariants, and practical trade-offs across arrays, linked lists, stacks, queues, hash tables, binary search trees, heaps, and graphs.

  • Medium
  • Optiver
  • Coding & Algorithms
  • Software Engineer

Compare common data structures and uses

Company: Optiver

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Technical Screen

Compare common data structures and select appropriate ones for specific tasks. For arrays, linked lists, stacks, queues, hash tables, binary search trees (balanced and unbalanced), heaps, and graphs, state average and worst-case time/space complexities for search, insert, delete, and iteration; list key invariants; and provide one example where each excels and one where it performs poorly.

Quick Answer: This question evaluates a candidate's mastery of fundamental data structures, algorithmic time and space complexity, invariants, and practical trade-offs across arrays, linked lists, stacks, queues, hash tables, binary search trees, heaps, and graphs.

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Optiver logo
Optiver
Jul 17, 2025, 12:00 AM
Software Engineer
Technical Screen
Coding & Algorithms
9
0

Compare common data structures and select appropriate ones for specific tasks. For arrays, linked lists, stacks, queues, hash tables, binary search trees (balanced and unbalanced), heaps, and graphs, state average and worst-case time/space complexities for search, insert, delete, and iteration; list key invariants; and provide one example where each excels and one where it performs poorly.

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