Katkat

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Interview Questions

Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.

9403
Questions
546
Companies
11
Topics
8
Languages

Showing 7411–7440 of 9403 results

  • RobloxHardData Scientist
    Compute DID estimate and pretrend flag

    This Analytics & Experimentation question evaluates basic causal-inference and data-manipulation skills by requiring computation of a difference-in-differences (DID) estimate and a binary pretrend flag from panel-like arrays, at an implementation-level focused on summary statistics and edge-case handling.

    Analytics & ExperimentationOnline Assessment
  • RobloxEasyData Scientist
    Compute diff-in-diff and pretrend flag

    This question tests the ability to calculate a difference-in-differences (DiD) estimator for causal inference and implement a basic statistical test for pre-intervention trend divergence.

    Analytics & ExperimentationOnline AssessmentCausal InferenceData WranglingStatistics
  • RobloxHardData Scientist
    Compute minimum sample size for A/B test

    Evaluates the ability to perform sample size and power calculations for a two-sample z-test—including estimating outcome standard deviation from historical continuous data—and is categorized under Analytics & Experimentation for a Data Scientist role at an implementation-level applied statistics abstraction.

    Analytics & ExperimentationOnline Assessment
  • RobloxHardData Scientist
    Compute sample size and Bayes posterior

    This question evaluates understanding of statistical inference and probabilistic reasoning by combining a frequentist power/sample-size computation for a two-sided two-sample z-test with a basic Bayesian conditional probability calculation.

    Statistics & MathOnline Assessment
  • RobloxHardSoftware Engineer
    Count Distinct Hat Assignments and Maximize Hat Points

    Count valid one-hat-per-person assignments and maximize assigned-hat points with exact counts, unique hat use, and bitmask or backtracking reasoning.

    Coding & AlgorithmsOnsite
  • RobloxMediumSoftware Engineer
    Data Center Rack Units: Can a Centered Equipment Bay Be Reserved?

    Process an online stream of rack-unit reservations and span-availability checks over an infinite 1D coordinate line, answering each availability check with the data seen so far.

    Coding & AlgorithmsOnline Assessmentbinary-searchonline-queriesarrays
  • RobloxMediumData Scientist
    Defend a metric choice under scrutiny

    This question evaluates a Data Scientist's competency in metric selection, stakeholder communication, and experiment governance when defending a non-obvious primary metric.

    Behavioral & LeadershipOnsite
  • RobloxHardSoftware Engineer
    Define success metrics and monitoring

    Define success metrics and monitoring evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Analytics & ExperimentationOnsite
  • RobloxHardData Scientist
    Demonstrate fit with quantified stories and motivations

    This question evaluates a Data Scientist's behavioral and leadership competencies, including storytelling with quantified impact, ownership of technical decisions, trade-off analysis, error detection and correction, motivation, team collaboration, and end-to-end project thinking.

    Behavioral & LeadershipTechnical Screen
  • RobloxMediumData Scientist
    Derive variance and CTR confidence intervals

    This problem tests your understanding of statistical inference for binomial proportions, specifically calculating confidence intervals for Click-Through Rates (CTR) and understanding how to aggregate variability across multiple days.

    Statistics & MathTechnical ScreenStatisticsInferenceCTR
  • RobloxMediumData Scientist
    Describe leading an ambiguous ads project

    This question evaluates a data scientist's end-to-end ownership, experimental and analytics skills in ads/growth contexts, including hypothesis formulation, metric and guardrail selection, trade-off reasoning, stakeholder alignment, conflict resolution, and quantifying impact.

    Behavioral & LeadershipTechnical Screen
  • RobloxHardData Scientist
    Describe resolving revenue–UX metric conflict

    This question evaluates a data scientist's competency in metrics-driven product leadership, focusing on balancing monetization and user-experience metrics, quantitative trade-off analysis, experiment design, risk management, and cross-functional stakeholder decision-making.

    Behavioral & LeadershipTechnical Screen
  • RobloxEasySoftware Engineer
    Design Multi-Dimensional Request Rate Limiting

    Design a distributed, low-latency rate limiting service capable of enforcing multi-dimensional limits (e.g., by user ID, IP address, and endpoint) across a large-scale gaming platform.

    System DesignTechnical ScreenDistributed SystemsRate LimitingCaching
  • RobloxMediumMachine Learning Engineer
    Design a Game Recommendation System

    This problem tests your ability to design a multi-stage recommendation architecture tailored to a gaming platform, focusing on user-specific constraints like age-appropriateness and the challenges of the long-tail game distribution.

    ML System DesignOnsiteRecommendation SystemsSystem DesignRanking
  • RobloxHardSoftware Engineer
    Design a Played-By Summary System

    Design a scalable social-proof service that tracks unique player counts per experience and computes real-time friend-intersection summaries under high write throughput and low read latency.

    System DesignTechnical Screensystem-designdistributed-systemscaching
  • RobloxMediumSoftware Engineer
    Design a Real-Time Shared To-Do List

    Design a real-time collaborative to-do list supporting concurrent edits, task reordering, fast write confirmations, and seamless reconnect recovery.

    System DesignTechnical ScreenReal-TimeWebSocketsDistributed Systems
  • RobloxMediumFrontend Engineer
    Design a Reusable Dropdown Menu Component

    Tests a candidate's ability to architect a production-grade, reusable UI component library element with consideration for flexible API design, accessibility (WAI-ARIA), state management, and large dataset performance.

    System DesignOnsiteFrontend System DesignReactAccessibility
  • RobloxMediumSoftware Engineer
    Design a Scalable Like Counter

    This question tests the ability to design a high-throughput, eventually consistent counting system that handles massive concurrent write volumes while maintaining low-latency read access.

    System DesignOnsiteScalabilityDistributed SystemsCaching
  • RobloxMediumSoftware Engineer
    Design a Scalable Likes System

    This question tests your ability to design a high-throughput, distributed service for tracking user engagement, focusing on write-heavy loads and read-consistency trade-offs.

    System DesignTechnical ScreenScalabilityDistributed SystemsCaching
  • RobloxHardSoftware Engineer
    Design a Static Audio Detection System

    This question evaluates system design and ML integration skills for building a scalable, reliable offline audio detection pipeline, including ingestion, preprocessing, STT and spectral feature extraction, rule-based post-processing, artifact persistence, and human-in-the-loop review within the ML system design domain.

    ML System DesignOnsite
  • RobloxMediumMachine Learning Engineer
    Design a game genre classifier

    This question assesses the ability to design an end-to-end multi-modal machine learning system for classifying user-generated game content based on diverse input features and real-time serving requirements.

    ML System DesignOnsiteMulti-modalNLPComputer Vision
  • RobloxEasySoftware Engineer
    Design a game recommendation modeling approach

    This problem tests the ability to design an end-to-end recommendation engine for a massive-scale gaming platform, focusing on user-item interaction modeling and handling cold-start scenarios.

    ML System DesignTechnical ScreenRecommender SystemsML DesignRetrieval
  • RobloxMediumSoftware Engineer
    Design a rate limiter

    This problem tests your ability to design a distributed rate-limiting service that maintains request counts across multiple application nodes while balancing system performance and accuracy.

    System DesignTechnical ScreenScalabilityDistributed SystemsCaching
  • RobloxHardMachine Learning Engineer
    Design a real-time game recommendation system

    Design a real-time game recommendation system evaluates ML product requirements, data/labeling, modeling, serving architecture, evaluation, monitoring, and trade-offs in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    ML System DesignTechnical Screen
  • RobloxHardSoftware Engineer
    Design a scheduled payment system

    This question evaluates proficiency in designing a reliable, scalable scheduled payment service, testing competencies in distributed systems, API design, scheduling and execution workflows, idempotency and deduplication, time semantics, transactional consistency, security and compliance, and operational monitoring.

    System DesignOnsite
  • RobloxMediumSoftware Engineer
    Design an In-App Notification Center with Real-Time Updates and Unread Counts

    A system design question about an in-app notification center that turns product events into per-user notifications, shows an unread badge and a recent list, and pushes new items to online users. It tests fan-out strategy, inbox data modeling, unread counts, real-time delivery, reliability, and client design.

    System DesignOnsite
  • RobloxHardData Scientist
    Design experiment for homepage tab replacement

    This question evaluates experiment design and causal-inference competency for product changes that impact both end users and platform creators, covering randomization strategies, metric and guardrail selection, power calculations, and handling of novelty, navigation friction, and ecosystem interference.

    Analytics & ExperimentationTechnical Screen
  • RobloxMediumSoftware Engineer
    Design favorites and social game recommendations

    This question tests the ability to design a scalable, low-latency system for managing user-specific lists (favorites) and integrating real-time social signals into a game recommendation engine.

    System DesignOnsiteScalabilityCachingSocial Graphs
  • RobloxMediumSoftware Engineer
    Design in-game payment wallet system

    Design in-game payment wallet system evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    System DesignTechnical Screen
  • RobloxHardData Scientist
    Design leakage-free predictive maintenance pipeline

    This question evaluates a data scientist's competency in designing time-series predictive maintenance pipelines, focusing on temporal feature engineering, leakage prevention and point-in-time joins, handling late-arriving labels, class imbalance and cost-sensitive thresholding, probabilistic calibration, explainability, and operational drift monitoring. It is commonly asked in the Machine Learning domain to assess an applicant's ability to produce an end-to-end, production-ready workflow that balances practical implementation concerns with conceptual system-design reasoning, so the task is primarily practical application with important conceptual elements.

    Machine LearningOnline Assessment