TL;DR
Bloom Filter False Positive Rate: A canonical quantitative trading interview question at intermediate difficulty. Commonly asked at Two Sigma, Citadel, DE Shaw.
By Valenke Exam Prep Team·Last updated 2026-06-01
intermediateRandomized Data Structures
Bloom Filter False Positive Rate
Asked at: Two Sigma, Citadel, DE Shaw
Problem
A Bloom filter uses bits and independent hash functions. After inserting elements, derive the false positive probability. What is the optimal number of hash functions that minimizes this probability?
Related concepts
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