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 91–120 of 263 results

  • DiscordHardSoftware Engineer
    Explain C++ alignment and ABI stability

    This question evaluates mastery of C++ low-level memory concepts—memory alignment, padding and struct/class layout—and understanding of ABI stability, including calling conventions, name mangling, vtable layout and other binary compatibility concerns, reflecting competence in systems-level C++ and binary interfacing.

    Software Engineering FundamentalsHR Screen
  • DiscordHardSoftware Engineer
    Explain your database experience and debugging approach

    This question assesses the candidate's depth in database architecture, specifically regarding isolation levels and race conditions, while testing their methodology for validating code generated by AI or external tools.

    Software Engineering FundamentalsHR ScreenDatabasesConcurrencyDebugging
  • DiscordHardSoftware Engineer
    Walk through your background and proud project

    This question evaluates communication, ownership, and technical leadership related to persistence and database-infrastructure, including on-call incident handling, impact measurement, and trade-off justification.

    Behavioral & LeadershipHR Screen
  • DisneyHardData Scientist
    Demonstrate influential product leadership under ambiguity

    This question evaluates a candidate's influential product leadership, stakeholder alignment, metric definition, and analytic judgment under ambiguity, including the ability to prioritize trade-offs and drive decisions without formal authority.

    Behavioral & LeadershipHR Screen
  • DisneyHardData Scientist
    Diagnose and decide on watch-time drop

    This question evaluates a data scientist's skills in causal inference, experiment analytics, metric definition and guardrails, confounder adjustment, and rapid decision-making under time pressure.

    Analytics & ExperimentationHR Screen
  • DisneyMediumSoftware Engineer
    Discuss Terraform, Infrastructure as Code, and AWS Experience

    Describe infrastructure-as-code experience through reviewed changes, state management, cloud validation, drift, partial failures, and honest ownership.

    Software Engineering FundamentalsHR Screen
  • DisneyMediumSoftware Engineer
    Discuss Your Proudest Project and Interest in a Role

    Explain a proud project through personal contribution and supported results, then connect real interests to verified role responsibilities.

    Behavioral & LeadershipHR Screen
  • DisneyMediumProduct Manager
    Reduce Disney+ Account Sharing

    Design a Disney+ PM strategy to reduce unauthorized account sharing while protecting legitimate subscribers. Covers user segmentation, detection signals, phased enforcement, metrics, and churn guardrails.

    Product Design & StrategyHR Screen
  • DisneyMediumData Scientist
    Write complex SQL for streaming funnels

    This question evaluates a candidate's ability to write complex ANSI-SQL for event-level funnel analysis, including temporal windowing, user attribution, multi-stage aggregation, and handling of event schemas.

    Data Manipulation (SQL/Python)HR Screen
  • EYMediumTechnology Consultant
    Describe External Client Work and Process Improvement

    This question assesses a candidate's ability to navigate complex client engagements by demonstrating technical problem-solving, process optimization, and the ability to influence diverse stakeholders.

    Behavioral & LeadershipHR ScreenConsultingProcess ImprovementStakeholder Management
  • EYMediumTechnology Consultant
    Explain a Career Move in a Self-Contained Consulting Scenario

    This question tests your ability to articulate a coherent career narrative that bridges technical analytical expertise with the client-facing requirements of a technology consulting role.

    Behavioral & LeadershipHR ScreenBehavioralConsultingCareer-Motivation
  • EightfoldaiMediumSoftware Engineer
    Explain Employment Status, Promotions, and Departures

    This question assesses a candidate's professional communication skills, specifically their ability to articulate career progression and the rationale behind job transitions clearly and constructively.

    Behavioral & LeadershipHR ScreenBehavioralCommunicationCareer-Growth
  • Electronic ArtsMediumProduct Manager
    Answer EA PM behavioral prompts

    Prepare EA game PM behavioral answers for motivation, proud projects, recent learning, data-driven recommendations, cross-functional game development, and learning from being wrong. The solution emphasizes player impact, metrics, collaboration, and humility for a Plants versus Zombies studio interview.

    Behavioral & LeadershipHR Screen
  • EquinixMediumFrontend Engineer
    Plan Testing and Deployment for a React Feature

    This question assesses a candidate's ability to architect a robust, production-ready React feature by integrating state persistence, error handling, testing strategies, and safe deployment practices.

    Software Engineering FundamentalsHR ScreenReactFrontend ArchitectureTesting Strategy
  • FigmaMediumData Scientist
    Deliver a crisp self-introduction

    This question evaluates a candidate's ability to deliver a concise, metric-backed self-introduction demonstrating product-analytics impact, cross-functional influence, leadership presence, and alignment with a collaborative design SaaS mission.

    Behavioral & LeadershipHR Screen
  • FigmaMediumSoftware Engineer
    Describe adapting communication to interviewer preferences

    This question evaluates interpersonal communication, emotional intelligence, stakeholder management, and the ability to calibrate technical depth to an interviewer’s verbal and nonverbal cues.

    Behavioral & LeadershipHR Screen
  • FigmaHardSoftware Engineer
    Design and operate a monolith on Kubernetes

    This question evaluates a candidate's competency in designing and operating a monolithic application on Kubernetes, covering platform engineering topics such as deployment topology, networking and traffic management, CI/CD and rollout strategies, resource management and autoscaling, stateful dependencies, observability, incident response, and disaster recovery. Commonly asked in System Design interviews to assess practical application of distributed systems and SRE principles—specifically the ability to reason about operational trade-offs, reliability, and incremental migration paths—this prompt sits in the System Design domain and emphasizes practical application with architectural reasoning rather than purely conceptual understanding.

    System DesignHR Screen
  • FigmaMediumData Scientist
    Negotiate Figma compensation analytically

    This question evaluates quantitative compensation analysis, negotiation strategy, and stakeholder communication skills for a Data Scientist role, focusing on modeling offer components and articulating numerical trade-offs.

    Behavioral & LeadershipHR Screen
  • GoogleMediumSoftware Engineer
    Approach a Forced-Choice Work-Style Assessment Consistently

    Tests a candidate's self-awareness, decision-making framework, and ability to navigate competing positive work values consistently rather than attempting to project an idealized persona.

    Behavioral & LeadershipHR ScreenBehavioralSelf-AwarenessDecision Making
  • GoogleEasyData Scientist
    Describe a challenging project and how you succeeded

    This question evaluates a data scientist's ownership, technical depth in research and modeling, decision-making under constraints, stakeholder management, measurable impact orientation, and reflective learning, and it is categorized under Behavioral & Leadership for Data Scientist roles.

    Behavioral & LeadershipHR Screen
  • GoogleEasyData Scientist
    Design an A/B test for search ranking

    This question tests the ability to design a statistically sound A/B test for a search ranking algorithm, focusing on metric selection, hypothesis formulation, and common pitfalls in experimentation.

    Analytics & ExperimentationHR ScreenA/B TestingMetricsHypothesis Testing
  • GoogleEasyData Scientist
    Estimate weather’s effect on mental health

    This problem tests the ability to design an observational study to measure the causal impact of meteorological variables on self-reported mental health scores, focusing on confounding variables and identification strategies.

    Statistics & MathHR ScreenCausal InferenceRegressionConfounding
  • GoogleMediumSoftware Engineer
    Evaluate career paths under visa constraints

    This question evaluates decision-making, strategic career planning, immigration risk assessment, and trade-off analysis for a software engineer navigating multiple post-layoff options under visa constraints.

    Behavioral & LeadershipHR Screen
  • GoogleMediumSoftware Engineer
    Handle Policy, Confidentiality, Integrity, and Conflict-of-Interest Scenarios

    Tests ethical decision-making, conflict-of-interest disclosure, data confidentiality adherence, and principled stakeholder communication under delivery pressure.

    Behavioral & LeadershipHR ScreenBehavioralEthics & IntegrityConflict of Interest
  • GoogleMediumProduct Manager
    Learning from Failure & Conflict

    Google PM behavioral screen covering failure or conflict, ownership, resilience, stakeholder communication, learning, and mission fit using STAR or STAR-L structured answers.

    Behavioral & LeadershipHR Screen
  • GreptileMediumSoftware Engineer
    Explain Career Decisions for a Customer Engineer Role

    Connect past career decisions and current goals to a customer engineer role, with honest motivation and questions about technical ownership.

    Behavioral & LeadershipHR Screen
  • HubSpotMediumMachine Learning Engineer
    Discuss compensation expectations and level

    This question evaluates a candidate's ability to articulate compensation expectations, total rewards understanding (base, bonus, equity, sign-on) and flexibility, along with professional communication and self-awareness, and is categorized under Behavioral & Leadership and HR screening for compensation negotiation.

    Behavioral & LeadershipHR Screen
  • Hudson River TradingEasySoftware Engineer
    Maximize Item Counts Under Suffix Budget Queries

    Determine the maximum number of items that can be purchased from a suffix of an item array within a given budget for multiple independent queries.

    Coding & AlgorithmsHR Screengreedysortingbinary-search
  • ImbueHardSoftware Engineer
    Max Score of an Alternating Left-Right Walk Over a Row of Signed Cells

    A token walks a row of up to 50 signed cells, alternating right and left moves, and each move adds the sum of the cells it covers while the score must never drop below zero. Find the best score within up to 400 million moves, testing state design, the non-negative score constraint, and speed when the move count is huge.

    Coding & AlgorithmsHR Screen
  • ImcMediumData Scientist
    Adapting a Research Approach Midstream

    This question assesses the candidate's ability to balance technical rigor with business agility, specifically focusing on communication skills, professional resilience, and stakeholder management under pressure.

    Behavioral & LeadershipHR ScreenCommunicationStakeholder ManagementAdaptability