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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 4616 results
- AirbnbMediumSoftware EngineerImplement Connect Four game
This question evaluates implementation skills for game state management, move handling, and efficient winner-detection algorithms, testing competence in data structures, algorithmic complexity analysis, and correctness under edge cases.
Coding & AlgorithmsTechnical Screen - AirbnbEasySoftware EngineerImplement Text Layout and Query Parsing
Implement URL query parameter extraction and a greedy text line-wrapper that enforces maximum line length and prevents orphan words on the final line.
Coding & AlgorithmsTechnical ScreenStringsParsingGreedy - AirbnbEasySoftware EngineerImplement a Removable Nested-List Iterator
Design and implement a nested-list iterator supporting `hasNext`, `next`, and an in-place `remove` operation that alters the original data structure.
Coding & AlgorithmsTechnical ScreenDesignStackRecursion - AirbnbMediumData ScientistInfluence Decisions Without Direct Authority: Strategies and Outcomes
Evaluates behavioral storytelling for influencing decisions without direct authority. Strong answers use STAR, map stakeholders, build alignment with shared goals and evidence, handle objections, quantify outcomes, and show how the candidate drove a decision without formal power.
Behavioral & LeadershipTechnical Screen - AirbnbHardData ScientistLead cross-functional decision without RCT evidence
This question evaluates a data scientist's cross-functional decision-making, experimental-design reasoning without a holdout, metric definition, and stakeholder-influence skills within a product analytics context.
Behavioral & LeadershipTechnical Screen - AirbnbMediumSoftware EngineerMaximize path score in DAG
This question evaluates proficiency in graph algorithms and optimization, focusing on reasoning about weighted directed acyclic graphs and maximizing a path score that combines node rewards and edge time costs.
Coding & AlgorithmsTechnical Screen - AirbnbMediumMachine Learning EngineerMinimum Canisters to Top Up an Exact Target
Tests dynamic programming for the unbounded knapsack/coin change problem, focusing on finding the minimum number of canisters to reach an exact volume and reconstructing the optimal selection.
Coding & AlgorithmsTechnical Screendynamic-programmingknapsackarrays - AirbnbMediumSoftware EngineerReview a geospatial Python module
This question evaluates proficiency in geospatial data processing and Python code review, including detection of correctness bugs, numerical stability issues, CRS handling, performance optimization, refactoring, testing strategy, and security considerations when working with CSV/GeoJSON datasets.
Data Manipulation (SQL/Python)Technical Screen - AirbnbMediumSoftware EngineerSimulate pouring water onto terrain
This problem tests your ability to model a fluid simulation on a grid using a deterministic rule set and efficient array traversal.
Coding & AlgorithmsTechnical ScreenSimulationArrayGrid - AirbnbMediumData ScientistTest conversion difference and adjust for clustering
This question evaluates proficiency in statistical inference for A/B testing—estimating and comparing conversion proportions, conducting two-sided hypothesis tests, adjusting for day-level clustering using ICC and design-effect corrections, and performing power and sample-size calculations; it belongs to the Statistics & Math domain for a Data Scientist role and combines conceptual understanding with practical application. It is commonly asked to assess an interviewee's ability to interpret conversion uplift under realistic experimental constraints, account for intra-cluster correlation when estimating effective sample sizes and uncertainty, and reason about experiment duration and robustness checks.
Statistics & MathTechnical Screen - AirbnbMediumSoftware EngineerWalk through a project in detail
This question evaluates a software engineer's leadership, project management, technical decision-making, risk mitigation, and ability to quantify business and technical impact through a detailed project walkthrough.
Behavioral & LeadershipTechnical Screen - AirtableMediumSoftware EngineerDesign Extensible Undo and Redo for a Spreadsheet
This problem tests your ability to design a robust Command pattern architecture capable of handling complex state transitions, such as data deletions and dependency-aware recalculations, in a spreadsheet environment.
Software Engineering FundamentalsTechnical ScreenSystem DesignDesign PatternsCommand Pattern - AirtableEasyData ScientistDiagnose metric anomalies and evaluate new algorithm
This question tests your ability to systematically investigate a sudden drop in a key product metric and design a robust A/B test to evaluate the impact of a new recommendation algorithm.
Analytics & ExperimentationTechnical ScreenA/B TestingProduct AnalyticsRoot Cause Analysis - AirtableMediumSoftware EngineerImplement a Connection Pool
This question evaluates a candidate's competence in resource management, object ownership and lifecycle handling, and safe reuse of pooled database connections.
Software Engineering FundamentalsTechnical Screen - AirwallexMediumSoftware EngineerDesign a High-Demand Ticketing System
Design a ticketing system for high-demand events. Connect requirements and APIs to data modeling, consistency, scaling, failure recovery, observability, and the important design trade-offs.
System DesignTechnical Screen - AirwallexMediumSoftware EngineerDesign a Large-File Analysis Report System
Tests system design skills in architecting a secure, multi-tenant pipeline for large file ingestion and asynchronous batch analytics with resumable uploads and idempotent job processing.
System DesignTechnical ScreenObject StorageDistributed SystemsIdempotency - AirwallexMediumFrontend EngineerDesign a Reusable React Autocomplete Input: API, Portals, Debounce and Caching
Design a reusable autocomplete search input for a React application on top of an existing search API. The discussion covers the API contract with pagination and limits, the component and portal architecture, throttling versus debouncing, client-side result caching strategies, and the public props and exports.
System DesignTechnical Screen - AirwallexMediumData ScientistDiagnose a Structural Break in KYC Submission Rate
Tests your ability to systematically diagnose sudden metric shifts, secular downward trends, and seasonality in a fintech onboarding funnel using structured hypothesis testing and slice analysis.
Analytics & ExperimentationTechnical Screenmetric-diagnosisfunnel-analysismix-shift - AirwallexMediumSoftware EngineerFind All Index Quadruples Summing to a Target Without Losing Positions
Given an integer array and a target, return every quadruple of original indices i < j < k < l whose values sum to the target, in lexicographic order. Tests an efficient search beyond brute force, index-based deduplication, overflow awareness and handling of repeated values without losing positions.
Coding & AlgorithmsTechnical Screen - AirwallexMediumSoftware EngineerHow You Use AI Tools at Work and When You Would Delegate a Task to an Agent
Behavioral question asking a software engineer how they use AI tools in daily work and whether they would delegate a task to an autonomous agent that picks its own tools. It tests concrete use cases, clear boundaries, verification habits, permission safeguards, and ownership of shipped code.
Behavioral & LeadershipTechnical Screen - AirwallexMediumSoftware EngineerLargest Square of Ones
Tests dynamic programming on a 2D grid, specifically optimizing state transitions to achieve O(n) auxiliary space.
Coding & AlgorithmsTechnical ScreenDynamic ProgrammingMatrixSpace Optimization - AirwallexMediumFrontend EngineerName-Keyed Async Task Scheduler with Sequential Lanes, Cancel and Clear by Name
Implement a JavaScript task scheduler for async functions where tasks sharing a name run strictly in order while tasks with different names run concurrently. Follow-ups add cancelling the running task for a name and clearing every running and queued task by name, testing promise handling, race conditions and API design.
Software Engineering FundamentalsTechnical Screen - Akuna CapitalMediumData ScientistCount subarrays equal to target
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Count subarrays equal to target states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - Akuna CapitalHardSoftware EngineerDesign a Tiered Expiring Item Store
Design a multi-tiered in-memory item store that enforces tier capacity limits, dynamic expiration, and deterministic retrieval using dual heaps and lazy cleanup.
Software Engineering FundamentalsTechnical ScreenData StructuresHeapsCache Design - Akuna CapitalHardSoftware EngineerDesign an order-matching engine
This question evaluates a candidate's ability to design a high-throughput, low-latency in-memory limit order-matching engine, testing competencies in data structure selection, algorithmic complexity, deterministic concurrency, API design, and handling domain-specific constraints such as self-trade prevention.
System DesignTechnical Screen - Akuna CapitalMediumSoftware EngineerEvaluate a Hexadecimal Bitwise AND
Tests understanding of bitwise operations, hexadecimal-to-binary mapping, and manual nibble-level alignment without relying on arbitrary-precision integer conversions.
Software Engineering FundamentalsTechnical ScreenBit ManipulationStringsSystems Programming - Akuna CapitalMediumSoftware EngineerFind the Maximum Value in a Binary Tree Recursively
Implement a recursive binary tree traversal to find the maximum integer value in a tree, with careful handling of pointer safety, sentinel values, and edge cases like all-negative nodes.
Software Engineering FundamentalsTechnical Screenbinary-treerecursioncpp - Akuna CapitalMediumSoftware EngineerImplement a ring buffer
This question evaluates implementation skills for fixed-capacity circular buffers and competency in array-based data structures, including O(1) push/pop/peek/isEmpty/isFull/size operations and logical-order iteration.
Coding & AlgorithmsTechnical Screen - Akuna CapitalHardSoftware EngineerMaximize Distinct Values with Cross-Array Swaps
This problem tests greedy strategy optimization and frequency counting to maximize the count of unique elements across two arrays after a limited number of swaps.
Coding & AlgorithmsTechnical ScreenGreedyArraysHashing - Akuna CapitalMediumData ScientistMaximize profitable pairs
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Maximize profitable pairs states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen