Answer conceptual true/false and caching questions

Q: Answer conceptual true/false and caching questions

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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Software Engineering Fundamentals questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master software engineering fundamentals interviews.

Question

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You are asked several quick technical screening questions. Answer each with Yes/No and provide a brief justification.

(Integer representation) “64-bit can represent integers two times more than 32-bit.”
(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.
(Asymptotic complexity) “Binary search on a linked list has time complexity $O(n\log n)$ .”
(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).

Answer conceptual true/false and caching questions

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