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This is a medium difficulty Coding & Algorithms question, commonly asked during Onsite rounds at Meta.

What role is this question designed for?

This question is commonly asked for Machine Learning Engineer candidates at Meta during technical interviews.

Implement weighted random sampling with preprocessing

Last updated: Jun 27, 2026

Quick Overview

This question evaluates algorithm design and probabilistic reasoning for weighted random sampling, including data-structure preprocessing, time-space trade-offs, expected versus worst-case performance, and attention to numerical precision.

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Implement weighted random sampling with preprocessing