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Answer conceptual true/false and caching questions

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of integer representation, caching eviction policies and trade-offs (LFU vs LRU) including communication of analogies, asymptotic algorithmic complexity, and basic graph properties while requiring explicit assumptions about signedness and graph direction.

  • medium
  • Imc
  • Software Engineering Fundamentals
  • Software Engineer

Answer conceptual true/false and caching questions

Company: Imc

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: HR Screen

You are asked several quick technical screening questions. Answer each with **Yes/No** and provide a brief justification. 1. **(Integer representation)** “64-bit can represent integers two times more than 32-bit.” 2. **(Caching/eviction policies + communication)** Give an example workload where **LFU (Least Frequently Used)** is a better eviction policy than **LRU (Least Recently Used)**. Then explain LFU vs LRU using a **non-technical analogy** understandable to a 3-year-old. 3. **(Asymptotic complexity)** “Binary search on a linked list has time complexity \(O(n\log n)\).” 4. **(Graphs)** “Given \(N\) nodes, an acyclic graph has at most \(N-1\) edges.” State any assumptions you need (e.g., directed vs. undirected graph, signed vs. unsigned integers).

Quick Answer: This question evaluates understanding of integer representation, caching eviction policies and trade-offs (LFU vs LRU) including communication of analogies, asymptotic algorithmic complexity, and basic graph properties while requiring explicit assumptions about signedness and graph direction.

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Imc
Jan 20, 2026, 12:00 AM
Software Engineer
HR Screen
Software Engineering Fundamentals
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You are asked several quick technical screening questions. Answer each with Yes/No and provide a brief justification.

  1. (Integer representation) “64-bit can represent integers two times more than 32-bit.”
  2. (Caching/eviction policies + communication) Give an example workload where LFU (Least Frequently Used) is a better eviction policy than LRU (Least Recently Used) . Then explain LFU vs LRU using a non-technical analogy understandable to a 3-year-old.
  3. (Asymptotic complexity) “Binary search on a linked list has time complexity O(nlog⁡n)O(n\log n)O(nlogn) .”
  4. (Graphs) “Given NNN nodes, an acyclic graph has at most N−1N-1N−1 edges.”

State any assumptions you need (e.g., directed vs. undirected graph, signed vs. unsigned integers).

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