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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.
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Showing 2491–2520 of 4616 results
- MetaMediumSoftware EngineerMaximize Letters from Disjoint Words
This problem tests your ability to use recursion with backtracking and bit manipulation to find the maximum number of unique characters that can be formed by a subset of mutually disjoint words.
Coding & AlgorithmsTechnical ScreenBit ManipulationBacktrackingRecursion - MetaMediumSoftware EngineerMeasure Forty-Five Minutes with Two Unevenly Burning Ropes
Measure exactly 45 minutes using two ropes that each burn for 60 minutes but at unpredictable rates. The reasoning must rely only on lighting rope ends and observing completion events, never on assuming that half a rope represents half the time.
Statistics & MathTechnical Screen - MetaMediumData EngineerMeasure Game Monetization and Validate a Reporting Repair
Define gaming monetization metrics, separate business changes from data failures, and validate repairs with reconciliation and guardrails.
Analytics & ExperimentationTechnical Screen - MetaMediumData ScientistMeasure Harmful Content Impact with Key Metrics
This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Measure Harmful Content Impact with Key Metrics states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Analytics & ExperimentationTechnical Screen - MetaMediumData ScientistMeasure and mitigate notification spam
This question tests the ability to design an experimentation framework for notification systems while accounting for user fatigue, long-term ecosystem health, and signal interference.
Analytics & ExperimentationTechnical ScreenExperimentationProduct MetricsCausal Inference - MetaMediumSoftware EngineerMerge two interval lists into a union
This question evaluates a candidate's ability to implement interval merging algorithms, reason about edge cases such as touching boundaries, empty inputs, and invalid intervals, and perform time and space complexity analysis.
Coding & AlgorithmsTechnical Screen - MetaMediumData ScientistModel Unique Recipients with Poisson Distribution and Test Fit
Evaluates statistical modeling of unique recipient counts per caller using count distributions. Strong answers compare Poisson, binomial, negative binomial, zero-inflated, and segmented models, then test fit with dispersion checks, likelihood metrics, chi-square tests, and simulation-based diagnostics.
Statistics & MathTechnical Screen - MetaMediumSoftware EngineerNavigate unknown grid to locate target
This question evaluates algorithmic problem-solving and spatial reasoning skills, particularly graph traversal, exploration in unknown environments, state encoding for relative coordinates, and reasoning about correctness.
Coding & AlgorithmsTechnical Screen - MetaMediumData ScientistOptimize Travel Costs and Generate Rotational Symmetric Numbers
This question evaluates algorithmic optimization and complexity-analysis skills by combining array-based time-dependent pricing for round-trip cost minimization with combinatorial generation of rotationally symmetric (strobogrammatic) k-digit numbers.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerOptimize flight costs and find grid path
This question evaluates algorithm design and problem-solving skills for array-based cost optimization and grid pathfinding, including selection under ordering constraints, path existence detection and path reconstruction, together with correctness and edge-case reasoning.
Coding & AlgorithmsTechnical Screen - MetaMediumMachine Learning EngineerOptimize repeated-value vectors and compute exclusive times
This question evaluates proficiency in data-structure and algorithmic concepts such as run-length encoding for compressed vectors and interval/nesting reasoning for computing exclusive execution times.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerPalindrome After Deleting at Most One Character
This problem tests your ability to optimize string traversal using a two-pointer approach, specifically handling conditional branch logic when an inconsistency is detected.
Coding & AlgorithmsTechnical ScreenStringsTwo PointersGreedy - MetaHardData ScientistPersuade engineers to launch pinned-unread chats
This question evaluates persuasion, product sense, metrics-driven reasoning, and technical trade-off analysis for a Data Scientist within a Behavioral & Leadership domain, requiring clear problem definition, baseline metrics, impact estimation, and consideration of engineering constraints like ranking complexity, real-time updates, caching, client performance, edge cases, and accessibility. It is commonly asked to assess the ability to influence engineering stakeholders, design incremental rollouts with success metrics and guardrails, and balance high-level conceptual strategy with practical implementation planning (both conceptual understanding and practical application).
Behavioral & LeadershipTechnical Screen - MetaMediumMachine Learning EngineerPrevent Private Code Leakage in Coding Agents
This problem tests the ability to design an ML-driven safeguard system that prevents private codebase exposure during the training, fine-tuning, and inference phases of a coding agent.
ML System DesignTechnical ScreenMLOpsSecurityPrivacy - MetaMediumSoftware EngineerProduce asymmetric side views of a binary tree
Produce asymmetric side views of a binary tree evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - MetaHardData ScientistProve friends outperform unconnected; design metrics, observational analysis, and rollout experiment
A Meta data-scientist technical-screen question on Analytics & Experimentation: using only info_stream_views and post_reactions, prove whether Friend-authored content is 'more social' than Unconnected content. It tests denominator-complete metric design with relationship attribution, observational causal validation (fixed effects + propensity/AIPW), and a network-aware rollout experiment with power, CUPED, interference mitigations, and guardrails — plus quantifying the long-term and discovery value of Unconnected content beyond near-term engagement.
Analytics & ExperimentationTechnical Screen - MetaHardData ScientistProve high-quality pixels improve ad performance
This question tests your ability to design a rigorous causal experiment to validate a product hypothesis while accounting for selection bias, confounding variables, and operational constraints.
Analytics & ExperimentationTechnical ScreenCausal InferenceExperiment DesignMetric Strategy - MetaHardSoftware EngineerRemove minimum invalid mixed brackets
This Coding & Algorithms problem evaluates string-processing and bracket-matching skills, specifically understanding of stack-based parsing, handling multiple bracket types, and minimizing removals while preserving non-bracket characters.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerRemove minimum parentheses to balance string
This question evaluates string-processing and algorithm-design skills within the Coding & Algorithms domain, focusing on balancing parentheses, correctness proofs for minimal edits, and time/space complexity analysis.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerRemove runs of length at least k
This question evaluates string manipulation, run-length detection, and algorithmic efficiency, focusing on tracking and removing maximal contiguous character groups. It is commonly asked in the Coding & Algorithms domain to assess practical application–level skills in designing linear-time, linear-space implementations that handle dynamic sequence collapses using appropriate data structures.
Coding & AlgorithmsTechnical Screen - MetaMediumData ScientistResolve Team Conflicts and Exceed Job Expectations Successfully
Evaluates behavioral interview readiness for initiative beyond formal responsibilities and team conflict resolution. Strong answers use STAR, explain why the candidate stepped in, show stakeholder management, quantify impact, and resolve conflict without blame.
Behavioral & LeadershipTechnical Screen - MetaMediumData EngineerReturn count and renewal percentage of unreturned good copies
This question evaluates proficiency in SQL data manipulation, including conditional filtering, NULL handling, aggregation, and computing conditional percentages across related tables.
Data Manipulation (SQL/Python)Technical Screen - MetaMediumSoftware EngineerReverse between equal-value nodes in list
This question evaluates a candidate's ability to manipulate singly linked lists, perform in-place sublist reversal, and manage pointer references and node boundaries.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerReverse sublist between equal-value nodes
This question evaluates linked-list manipulation and pointer-management skills, focusing on reversing an in-place sublist between two nodes with equal values while respecting O(n) time and O(1) extra space constraints.
Coding & AlgorithmsTechnical Screen - MetaMediumData ScientistSelect and prioritize metrics with guardrails
This question evaluates a candidate's ability to design a robust metrics framework for product experiments, covering selection and normalization of success metrics, feature-only sizing and ecosystem metrics, explicit cannibalization reads, guardrails, multiple-testing control, and back-of-the-envelope LTV/ARPDAU impact estimation.
Analytics & ExperimentationTechnical Screen - MetaHardData ScientistShould We Launch Group Calling?
A Meta Data Scientist technical-screen case: using only one-to-one call logs, decide whether to build a group calling feature and how to measure a launch's success. It tests product analytics, proxy-metric design, network analysis, causal inference, and experiment design under social-network interference.
Analytics & ExperimentationTechnical Screen - MetaHardMachine Learning EngineerSimulate Monster Team Battles
This question tests the ability to implement a stateful, turn-based simulation engine using object-oriented principles, efficient queue management, and rule-based damage calculations.
Coding & AlgorithmsTechnical ScreenSimulationObject-Oriented DesignSorting - MetaMediumSoftware EngineerSolve Four Online Assessment Problems
This multi-part question evaluates algorithmic problem-solving across array manipulation, exact fraction comparison, scheduling and simulation with ordered event lists, matrix transformation operations, and string concatenation/counting, exercising skills in data structures, searching, and combinatorial counting.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerSolve PTO window and sparse unique counting
Solve PTO window and sparse unique counting evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - MetaMediumData EngineerSolve Python and SQL data tasks
This question evaluates data manipulation and engineering competencies by testing Python proficiency with nested data structure handling, complexity analysis and test-case design, alongside SQL proficiency in UTC-aware aggregation and per-user deduplication to compute daily active users; it is categorized as Data Manipulation (SQL/Python) within the data engineering domain. Such problems are commonly asked to assess practical implementation ability and robustness under edge cases, as well as conceptual understanding of time/space complexity and correct date-time handling, reflecting a primarily practical application with elements of conceptual analysis.
Data Manipulation (SQL/Python)Technical Screen
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