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 1351–1380 of 9403 results

  • AppleMediumSoftware Engineer
    Solve 15 common Apple coding questions

    This set evaluates algorithmic problem-solving and data-structure competence, including mastery of hash tables, linked lists, stacks, queues, heaps, graphs, sliding-window and two-pointer techniques, complexity analysis, and in-place transformations.

    Coding & AlgorithmsTechnical Screen
  • AppleMediumSoftware Engineer
    Solve 15 common interview problems

    This collection evaluates algorithmic problem-solving skills, mastery of fundamental data structures (arrays, strings, hash maps, stacks, queues, trees, graphs, linked lists) and the ability to reason about time and space complexity.

    Coding & AlgorithmsTechnical Screen
  • AppleMediumSoftware Engineer
    Solve Digit-Square and Grid BFS Problems

    This question evaluates understanding of digit-based state convergence and cycle detection alongside graph traversal and constrained shortest-path search, testing skills in number manipulation, state-space search, and BFS-style exploration.

    Coding & AlgorithmsTechnical Screen
  • AppleMediumSoftware Engineer
    Solve Subset Sum And Return All Matching Subsets

    This problem tests your ability to navigate the trade-off between dynamic programming and backtracking to find all unique combinations of elements that sum to a target value.

    Coding & AlgorithmsTechnical ScreenBacktrackingRecursionSorting
  • AppleMediumSoftware Engineer
    Solve interval, grid-fill, and heap tasks

    These combined tasks evaluate algorithmic problem-solving and data-structure design skills, specifically interval aggregation and counting over large timestamp ranges, constructive grid-filling with 4-directional connectivity constraints, and multiset operations supporting efficient retrieval and removal of minima and maxima.

    Coding & AlgorithmsTechnical Screen
  • AppleMediumSoftware Engineer
    Solve linked list, grid BFS, and median queries

    This problem tests your ability to manipulate linked list pointers in-place, perform a multi-source Breadth-First Search on a grid, and maintain a sorted structure to retrieve medians efficiently.

    Coding & AlgorithmsOnsiteLinked ListBFSHeaps
  • AppleMediumSoftware Engineer
    Solve mixed coding tasks from interviews

    This question evaluates binary tree traversal and leaf detection, calendrical date arithmetic and palindrome checking, discrete-time edge-detection/stateful sequence processing, and implementation of comparison-based sorting; category/domain: Coding & Algorithms. It is commonly asked to assess correctness and edge-case handling (e.g.

    Coding & AlgorithmsTechnical Screen
  • AppleMediumMachine Learning Engineer
    Solve stock and banana problems

    This question evaluates algorithmic problem-solving skills related to array processing, optimization under constraints, and reasoning about performance trade-offs by presenting a maximum single-transaction stock profit problem and a minimum banana-eating speed problem.

    Coding & AlgorithmsOnsite
  • AppleEasySoftware Engineer
    Solve three easy algorithm problems

    This multi-part prompt evaluates proficiency in fundamental algorithmic concepts including sorted array handling, single-transaction optimization in time-series data, and bracket-sequence validation, measuring understanding of array and string manipulation, common data structures, algorithmic complexity, and edge-case reasoning.

    Coding & AlgorithmsTechnical Screen
  • AppleMediumSoftware Engineer
    Sort and merge string lists by length

    This question evaluates understanding of sorting algorithms, stability, merging strategies, and time/space complexity analysis when ordering strings by length, and is categorized under Coding & Algorithms.

    Coding & AlgorithmsTechnical Screen
  • AppleEasySoftware Engineer
    Store Open-Hours Query: Weekdays, Split Shifts and Overnight Windows in Java

    A progressive Java coding exercise that asks whether a store is open at a given time as its schedule grows from one daily window to selected weekdays, several windows per day, and overnight windows that cross midnight and wrap from Sunday to Monday. It tests time modeling, boundary handling, and keeping evolving code readable.

    Software Engineering FundamentalsTechnical Screen
  • AppleMediumSoftware Engineer
    Time-to-Live Token Manager With Renewal and a Heavy Concurrent Read/Write Follow-up

    Implement a token manager in which each token expires a fixed time-to-live after it is generated or renewed, renewals extend only unexpired tokens, and a query counts live tokens. The follow-up asks how to keep it correct and fast under heavy concurrent reads and writes.

    Software Engineering FundamentalsTechnical Screen
  • AppleMediumSoftware Engineer
    Troubleshoot a Failing Kubernetes Pod: Where to Start and What to Check

    Explain how to troubleshoot a Kubernetes pod that has a problem, starting from its status, container states and events. Tests mapping Pending, ImagePullBackOff, CrashLoopBackOff, OOMKilled and not-Ready states to likely causes, using logs, debug containers and node checks, and separating mitigation from root cause.

    Software Engineering FundamentalsTechnical Screen
  • AppleMediumSoftware Engineer
    Unit Ratio Queries Across Independent Unit Families with Modular Answers

    A graph coding problem: given multiplicative conversion factors between units that split into independent families, answer queries for how many units of one unit equal one unit of another, returning the ratio modulo a prime or -1 when the units cannot be converted. It tests graph traversal over a forest and modular arithmetic.

    Coding & AlgorithmsTechnical Screen
  • AppleMediumSoftware Engineer
    Validate and Assess Performance Benchmarks

    Assess QA benchmark validity using comparable baselines, measurement variation, practical impact, and clear ownership of regression thresholds and known issues.

    Software Engineering FundamentalsOnsite
  • AppleMediumSoftware Engineer
    Vertical Order Traversal of a Binary Tree

    This problem tests your ability to map tree nodes to a 2D coordinate system and group them based on their horizontal distance from the root, followed by specific sorting criteria.

    Coding & AlgorithmsOnsiteBinary TreeHash TableSorting
  • AppleMediumSoftware Engineer
    Walk Through Your Hardest Debugging Investigation

    This question assesses your systematic problem-solving process, technical depth, and ability to learn from high-pressure production incidents.

    Behavioral & LeadershipOnsiteBehavioralDebuggingProduction
  • AppleHardMachine Learning Engineer
    Walk Through an Agentic PDF Evaluation Codebase

    This question tests your ability to navigate, critique, and extend a modular codebase designed for evaluating agentic PDF processing pipelines, focusing on evaluation metrics and robust system architecture.

    Software Engineering FundamentalsTechnical ScreenAgentic-WorkflowsEvaluationLLM-Systems
  • AppleMediumSoftware Engineer
    Work Productively with Someone Who Disagrees

    This question assesses a candidate's ability to navigate professional conflict by prioritizing team objectives over personal ego and maintaining effective working relationships.

    Behavioral & LeadershipOnsiteCommunicationConflict ResolutionCollaboration
  • AppleEasySoftware Engineer
    Write a Usage Example for a Resource-Owning C++ Class and Explain Its Semantics

    A C++ internship screen exercise: read an unfamiliar class that owns a heap array and write an example program showing callers how to use it correctly. It tests code comprehension and C++ fundamentals such as RAII, deleted copy operations, move semantics, noexcept, explicit constructors and const-correctness.

    Software Engineering FundamentalsTechnical Screen
  • AppleMediumMachine Learning Engineer
    Write a generator for substring pattern matches

    This question evaluates understanding of string pattern matching and generator/iterator design, testing skills in handling overlapping matches, streaming output, and worst-case time complexity considerations.

    Coding & AlgorithmsTechnical Screen
  • AppleEasyData Scientist
    Write queries to compute salary and budget stats

    This set of tasks evaluates data manipulation and analytical competencies, specifically the ability to compute order-statistics on numeric columns, perform relational joins to enrich event records, and reason about constrained selection for maximizing hires using SQL and pandas.

    Data Manipulation (SQL/Python)Onsite
  • AppleMediumSoftware Engineer
    Zero out duplicates and sort an array

    This question evaluates proficiency in array manipulation, duplicate handling, and custom sorting logic with attention to time and space complexity, and it falls within the Coding & Algorithms domain.

    Coding & AlgorithmsTechnical Screen
  • Applied IntuitionMediumSoftware Engineer
    Build an Ingestion Service and Timestamp-Indexed Query API for MCAP Driving Logs

    A hands-on build exercise over recorded vehicle drive logs stored in MCAP, with Protobuf-encoded camera and location messages. The candidate ingests the runs, designs storage and a time index, exposes APIs to list runs and query messages by timestamp, then demos the result and explains how they worked with an AI coding assistant.

    Software Engineering FundamentalsOnsite
  • Applied IntuitionMediumSoftware Engineer
    Build and present a minimal vehicle log playback app from S3 data in two hours

    Given two hours, an AI coding assistant and an S3 bucket of unfamiliar vehicle log data, build a minimal 3D log playback app and then present it in 30 minutes. The exercise tests data exploration, tight scoping, verifying AI-generated code, and explaining trade-offs and future work clearly.

    Software Engineering FundamentalsOnsite
  • Applied IntuitionMediumSoftware Engineer
    Compress vertices into uniques and indices

    This question tests the ability to efficiently identify unique elements in a sequence while maintaining their original relative order, mapping them to integer indices to compress a large dataset.

    Coding & AlgorithmsOnsiteHashingData StructuresOptimization
  • Applied IntuitionMediumMachine Learning Engineer
    Debug a GPT training pipeline

    This question evaluates debugging and implementation skills for transformer-based training pipelines, specifically attention masking, training-loop correctness, positional encoding integration, and the ability to design unit tests that catch such bugs.

    ML System DesignTechnical Screen
  • Applied IntuitionMediumMachine Learning Engineer
    Design Ordered CUDA Reduction

    This question evaluates understanding of parallel GPU programming, deterministic reduction ordering, and numerical stability in floating-point arithmetic, within the domain of parallel algorithms, GPU/CUDA programming, and numerical computing for a Software Engineering Fundamentals / Machine Learning Engineer role.

    Software Engineering FundamentalsTechnical Screen
  • Applied IntuitionMediumSoftware Engineer
    Design Parsing Boundaries for Interdependent Message Types

    Design parsing and type-resolution boundaries for interdependent message definitions, clarifying schema versus encoded input, forward references, recursion, and validation.

    Software Engineering FundamentalsTechnical Screen
  • Applied IntuitionMediumSoftware Engineer
    Design Sensor Data Processing With AI-Assisted Implementation

    Design an end-to-end ingestion, validation, and storage pipeline for high-frequency sensor telemetry from autonomous vehicle fleets. The focus is on handling raw versus derived data, schema modeling, fast time-range queries, and robust validation.

    System DesignTechnical ScreenTime SeriesData PipelineIoT & Robotics