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Explain C++ vector, unordered_map, and virtual functions

Last updated: Mar 29, 2026

Quick Overview

This question evaluates knowledge of C++ container performance and memory semantics, hashing and collision handling in associative containers, and runtime polymorphism mechanics, specifically probing vector growth behavior, unordered_map internals, and virtual function dispatch.

  • Medium
  • Jump Trading
  • Coding & Algorithms
  • Software Engineer

Explain C++ vector, unordered_map, and virtual functions

Company: Jump Trading

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Technical Screen

In C++, explain: - The amortized and worst-case time complexity of vector::push_back, and how capacity growth/expansion is implemented (growth factor, reallocation steps, move vs. copy semantics, and iterator/reference invalidation rules). - How unordered_map is implemented under the hood: hashing function usage, bucket array layout, collision handling (e.g., chaining), load factor thresholds, rehashing strategy, iterator/reference invalidation, and expected time complexity guarantees for insert/find/erase. - The purpose of virtual functions, how dynamic dispatch works (vtables/vptr), associated runtime and memory costs, when virtual destructors are needed, and trade-offs versus alternatives (templates, static polymorphism).

Quick Answer: This question evaluates knowledge of C++ container performance and memory semantics, hashing and collision handling in associative containers, and runtime polymorphism mechanics, specifically probing vector growth behavior, unordered_map internals, and virtual function dispatch.

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Jump Trading
Jul 16, 2025, 12:00 AM
Software Engineer
Technical Screen
Coding & Algorithms
12
0

In C++, explain:

  • The amortized and worst-case time complexity of vector::push_back, and how capacity growth/expansion is implemented (growth factor, reallocation steps, move vs. copy semantics, and iterator/reference invalidation rules).
  • How unordered_map is implemented under the hood: hashing function usage, bucket array layout, collision handling (e.g., chaining), load factor thresholds, rehashing strategy, iterator/reference invalidation, and expected time complexity guarantees for insert/find/erase.
  • The purpose of virtual functions, how dynamic dispatch works (vtables/vptr), associated runtime and memory costs, when virtual destructors are needed, and trade-offs versus alternatives (templates, static polymorphism).

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