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 1741–1770 of 3640 results

  • LinkedInMediumSoftware Engineer
    Design a CI/CD Task Scheduler

    Design the core distributed task scheduling engine for an enterprise CI/CD platform that coordinates DAG-based workflows across heterogeneous worker pools.

    System DesignOnsiteDistributed SystemsTask SchedulingCI/CD
  • LinkedInMediumSoftware Engineer
    Design a Distributed Key-Value Store for a Small Company's Internal Use

    Design a distributed key-value store for internal use at a small company. The question tests comparing centralized, decentralized and hybrid architectures, and depth on partitioning, rebalancing, replication, failure handling, consistency, hot keys and availability at a senior infrastructure level.

    System DesignOnsite
  • LinkedInMediumSoftware Engineer
    Design a Global Calendar Service

    This question evaluates competence in designing scalable, time-zone aware calendaring systems, covering API and data model design, recurrence representation, daylight saving semantics, conflict detection, storage strategy, and consistency trade-offs.

    System DesignOnsite
  • LinkedInMediumSoftware Engineer
    Design a Personalized Job Suggestions Page for LinkedIn Members

    Design the LinkedIn page that suggests open jobs to a signed-in member, from candidate retrieval and filtering to ranking, pagination and serving. Tests large-scale recommendation architecture, freshness for new and closed postings, feedback logging, latency budgets and graceful degradation.

    System DesignOnsite
  • LinkedInMediumSoftware Engineer
    Design a Ranked Social Feed with Hybrid Fan-Out

    Design a scalable, read-heavy ranked social feed supporting millions of users. The system must balance fan-out-on-write and fan-out-on-read while ensuring read-your-own-writes consistency for authors.

    System DesignOnsiteDistributed SystemsCachingSocial Network
  • LinkedInMediumSoftware Engineer
    Design a Scalable Calendar Service

    Design calendar event storage and time-range reads, explain concurrent edits and scaling, and clarify recurrence and notification requirements.

    System DesignOnsite
  • LinkedInMediumSoftware Engineer
    Design a Scalable Error Message Counting Service

    Design a service that receives application error messages and reports how often each distinct error occurs over time. It tests grouping varied messages into error signatures, absorbing bursty write traffic during incidents, time-windowed aggregation, top-error queries and count accuracy under failures.

    System DesignOnsite
  • LinkedInMediumMachine Learning Engineer
    Design a Skills inference system

    This question assesses the ability to build an end-to-end ML pipeline for extracting and normalizing professional skills from unstructured user-generated text, such as job descriptions or member profiles.

    ML System DesignOnsiteNLPEntity LinkingRecommendation Systems
  • LinkedInEasySoftware Engineer
    Design a Top-K Ranking Service

    This question tests the ability to design a distributed, low-latency system capable of maintaining and serving a real-time 'Top-K' list of items (e.g., trending hashtags) across a massive stream of incoming data.

    System DesignOnsiteScalabilityStreamingCaching
  • LinkedInMediumSoftware Engineer
    Design a company-wide monitoring system

    This question evaluates skills in designing large-scale observability and monitoring systems, covering telemetry collection (metrics, logs, traces), high-throughput ingestion, storage and scaling strategies, alerting pipelines, and operational trade-offs like cardinality, retention, and backpressure.

    System DesignOnsite
  • LinkedInMediumSoftware Engineer
    Design a malicious-URL checking service using an isMalicious API

    This question tests your ability to design a high-throughput, low-latency URL reputation checking service, focusing on caching strategies, scalability, and system resilience.

    System DesignOnsiteCachingScalabilityResilience
  • LinkedInMediumSoftware Engineer
    Design a max-stack with efficient operations

    This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Design a max-stack with efficient operations states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsOnsite
  • LinkedInMediumSoftware Engineer
    Design a meeting scheduler API

    This problem tests your ability to design a thread-safe scheduling system using interval management techniques and efficient data structures for range querying.

    Software Engineering FundamentalsOnsiteObject-Oriented DesignConcurrencyIntervals
  • LinkedInMediumSoftware Engineer
    Design a metrics platform without alerting

    This problem tests your ability to design a high-throughput time-series metrics system, focusing on ingestion pipelines, efficient storage schema for multi-dimensional data, and query performance.

    System DesignOnsiteTime-SeriesScalabilityData Modeling
  • LinkedInHardSoftware Engineer
    Design a scalable calendar system

    This question evaluates a candidate's ability to design a scalable, multi-tenant calendar platform, testing competencies in distributed systems architecture, API and data-model design for events/recurrence/time zones, access control and privacy boundaries, notification pipelines, and external integration.

    System DesignOnsite
  • LinkedInMediumSoftware Engineer
    Design a scalable key-value store

    This system design question evaluates expertise in distributed systems and scalable storage architecture within the System Design domain, focusing on data partitioning, replication, durability, consistency models, and low-latency operation.

    System DesignOnsite
  • LinkedInMediumMachine Learning Engineer
    Design a system for LinkedIn Skills

    This question evaluates a machine learning engineer's ability to design an end-to-end ML system for skill inference and recommendation on a professional networking platform, testing competencies in data sourcing and labeling, feature engineering, model selection (including LLM integration), online serving, monitoring, and quality control.

    ML System DesignOnsite
  • LinkedInMediumSoftware Engineer
    Design an exception monitoring system with top‑K

    This question tests the ability to design a high-throughput distributed system capable of ingesting, deduplicating, and aggregating exception logs to provide real-time top-K statistics.

    System DesignOnsiteStreamingScalabilityData Modeling
  • LinkedInMediumSoftware Engineer
    Design an in-memory key-value store using maps

    This question evaluates skills in in-memory data modeling, concurrent access control, time-complexity reasoning for expected O(1) operations, and storage engine considerations such as durability, compaction, and TTL when restricting indexing to map/dictionary primitives.

    System DesignOnsite
  • LinkedInMediumSoftware Engineer
    Design scalable job scheduler and query dashboard

    This question evaluates a candidate's system design skills in building a scalable, fault-tolerant job scheduling system and efficient near-real-time time-window querying, focusing on distributed scheduling, storage and indexing strategies, partitioning, and reliability guarantees, and is commonly asked to probe trade-offs among scalability, latency, availability, and consistency. Belonging to the System Design domain, it examines both high-level architectural thinking and practical application-level considerations such as data modeling, query/index design, operational concerns like hot partitions, and horizontal scaling.

    System DesignOnsite
  • LinkedInMediumData Scientist
    Diagnose a Drop in Applications from Job Recommendation Emails

    Diagnose falling applications from job emails by tracing funnel rates, recommendation relevance, promoted-job mix, and ranking changes.

    Analytics & ExperimentationOnsite
  • LinkedInMediumSoftware Engineer
    Discuss Projects and Tradeoffs

    English summary: This question evaluates competency in technical ownership, system architecture articulation, trade-off analysis, measurable outcome reporting, and cross-team leadership within software engineering projects.

    Behavioral & LeadershipOnsite
  • LinkedInMediumData Scientist
    Estimate Redesign Impact Using Propensity Score Matching

    Estimate Redesign Impact Using Propensity Score Matching 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
  • LinkedInMediumData Scientist
    Estimate an Experiment’s Mean Effect from Cohort and Metric Tables

    Estimate experimental impact from cohort and timestamped metric data using user-level outcomes, difference in means, confidence intervals, and valid testing.

    Statistics & MathOnsite
  • LinkedInMediumSoftware Engineer
    Explain a Difficult Technical Decision and Its Implementation

    Discuss a project's technical trade-off through concrete mechanisms, failure cases, validation evidence, and the strengths of rejected alternatives.

    Behavioral & LeadershipOnsite
  • LinkedInMediumSoftware Engineer
    Explain a Project with a Diagram and Deep Dive into Your Design

    Communicate a project through a simple data-flow diagram, then explain design choices, implementation ownership, failure behavior, and validation.

    Software Engineering FundamentalsOnsite
  • LinkedInMediumSoftware Engineer
    Explain the Design of a Recent Feature

    Tests your ability to communicate software design clearly by breaking down a production feature into its architecture, trade-offs, individual ownership, and verification strategy.

    Software Engineering FundamentalsOnsiteSystem DesignTechnical CommunicationArchitecture
  • LinkedInMediumSoftware Engineer
    Explain your most impactful project clearly

    This question evaluates technical communication, system design, architectural reasoning and leadership competencies by requiring a clear description of system components, data flow, individual responsibilities, trade-offs, and measurable impact.

    Behavioral & LeadershipOnsite
  • LinkedInMediumDevOps Engineer
    Explore an Unknown Grid and Return a Robot Path

    This problem tests graph traversal, state-space representation, and pathfinding in an environment where the map must be discovered dynamically.

    Software Engineering FundamentalsOnsiteGraph TraversalBFSState Machine
  • LinkedInMediumSoftware Engineer
    Fewest-Edge Distance Between Two Nodes in a Directed Acyclic Graph

    Given a directed acyclic graph and two nodes, return the fewest edges on a directed path from the source to the target, 0 when they are the same node, or -1 when the target cannot be reached. Asked as a follow-up to topological ordering, it tests traversal of dependency graphs.

    Coding & AlgorithmsOnsite