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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 5881–5910 of 9403 results
- NetappMediumSoftware EngineerDesign an Ordering Service That Prevents the Last Item from Being Oversold
This question tests the ability to design a high-concurrency reservation system that prevents race conditions and overselling using database transactions and distributed locking strategies.
System DesignOnsiteConcurrencyDistributed SystemsDatabase Transactions - NetappMediumSoftware EngineerIdentify the Orchestrator in a Server Connection Graph
This problem tests graph theory fundamentals by identifying a central hub node in a star-topology network using adjacency properties.
Coding & AlgorithmsOnsiteGraph TheoryData StructuresAlgorithms - NetappMediumSoftware EngineerMerge Two Sorted Singly Linked Lists
This problem tests the ability to manipulate pointers in a singly linked list to perform an in-place merge of two sorted lists.
Coding & AlgorithmsOnsiteLinked ListsPointersRecursion - NetappMediumSoftware EngineerPrioritize Several Simultaneous High-Priority Tasks
This question assesses the candidate's ability to manage competing project demands, utilize objective criteria for prioritization, and communicate effectively with stakeholders under pressure.
Behavioral & LeadershipOnsitePrioritizationCommunicationConflict Resolution - NetappMediumSoftware EngineerRank Teams from Ballot Preferences
This problem tests your ability to manage multi-level sorting criteria by implementing custom comparison logic for an array of preference rankings.
Coding & AlgorithmsOnsiteSortingHash MapGreedy - NetappEasySystem Software EngineerReason About Deadlocks, Synchronization, False Sharing, and Privilege Transitions
Analyze systems programming fundamentals across concurrency, memory architectures, and kernel execution through three concrete engineering scenarios.
Software Engineering FundamentalsTechnical ScreenOperating SystemsConcurrencyMultithreading - NetappMediumSoftware EngineerResolve a Conflict Within an Engineering Team
This question assesses the candidate's ability to navigate technical or process-related disagreements within a team, focusing on conflict resolution strategies, interpersonal communication, and long-term project outcomes.
Behavioral & LeadershipOnsiteConflict ResolutionSoft SkillsTeamwork - NetflixMediumData ScientistAddress Fraud Detection with Imbalance and Concept Drift Solutions
Evaluates end-to-end fraud detection ML system design for online payments under drift and imbalance. Strong answers handle delayed labels, class imbalance, feature engineering, cost-sensitive validation, real-time deployment, threshold actions, monitoring, retraining, and concept drift.
Machine LearningOnsite - NetflixMediumData ScientistAggregate D1 retention cohorts in SQL
This question evaluates a candidate's competency in time-series cohort analysis and SQL-based data manipulation, specifically measuring DAU, new-user cohorts, D1 retention and revenue-per-user while handling deduplication and user filtering.
Data Manipulation (SQL/Python)Onsite - NetflixMediumSoftware EngineerAnalyze Overlap in Closed Intervals
Implement an algorithm to determine how many closed intervals contain each point in a given list of query coordinates. The problem evaluates interval sweep-line techniques or binary search decomposition, boundary handling, and time/space complexity.
Coding & AlgorithmsTechnical Screenbinary-searchintervalssweep-line - NetflixMediumData ScientistAnalyze Retention Metrics Using SQL and Python
This question evaluates proficiency in SQL time-based cohort analysis and practical Python algorithm implementation, testing retention metric computation using windowed date calculations and an efficient approach for finding two numbers whose sum is closest to zero.
Data Manipulation (SQL/Python)Other - NetflixMediumSoftware EngineerAnswer Netflix Culture Screen Questions
This question evaluates a candidate's cultural fit, communication clarity, leadership, ownership, and ability to summarize measurable impact for a senior software engineer role on a high-scale advertising product at a large streaming platform.
Behavioral & LeadershipHR Screen - NetflixMediumData ScientistAnswer core probability and statistics questions
This question evaluates core probability and statistical inference competencies—covering Bayesian reasoning, regression controls and confounding, the Central Limit Theorem, distribution moments, t-statistics, and effect size/MDE—relevant to quantitative data analysis and hypothesis testing for a Data Scientist role in the Statistics & Math domain.
Statistics & MathOnsite - NetflixHardSoftware EngineerBuild a Recommendation System and Conversational Interface from Scratch
Design an initial recommendation system, then extend it with a chatbot that can retrieve and explain recommendations while respecting the same eligibility and ranking rules. Connect data and model choices to serving architecture, latency and throughput, evaluation, monitoring, failure modes, and iteration.
ML System DesignOnsite - NetflixMediumSoftware EngineerBuild and optimize a video playlist component
Build and optimize a video playlist component evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - NetflixMediumMachine Learning EngineerCompare Losses and Explain LoRA
This question evaluates understanding of loss functions (mean squared error versus cross-entropy) and parameter-efficient fine-tuning via Low-Rank Adaptation (LoRA), emphasizing probabilistic interpretations, optimization behavior, and low-rank parameterization.
Machine LearningTechnical Screen - NetflixHardSoftware EngineerCompute Earliest Completion Times
This question evaluates understanding of directed acyclic graphs, dependency resolution, computation of earliest task completion times, and cycle detection within prerequisite relationships.
Coding & AlgorithmsOnsite - NetflixMediumData ScientistCompute ITT, TOT, and LATE with noncompliance
This question evaluates understanding of causal inference and experimental analysis, specifically estimation and interpretation of ITT, TOT, and LATE under noncompliance along with classification of compliance types (compliers, always-takers, never-takers, defiers).
Analytics & ExperimentationOnsite - NetflixEasySoftware EngineerCompute Minimum Broadcast Latencies Between Cities
Implement Dijkstra's algorithm to compute the minimum broadcast latency from a source city to all other cities in an undirected, weighted network.
Coding & AlgorithmsTechnical Screengraphdijkstrashortest-path - NetflixMediumSoftware EngineerCompute Minimum Task Completion Time
This problem tests your ability to model task dependencies as a Directed Acyclic Graph (DAG) and compute the longest path in that graph to determine the earliest completion time.
Coding & AlgorithmsTechnical ScreenGraphTopological SortDynamic Programming - NetflixHardSoftware EngineerCompute subtree sums with tree DFS
This question evaluates proficiency in tree traversal and aggregation techniques, specifically computing subtree sums using depth-first search while handling traversal state and constraints such as negative values and large n.
Coding & AlgorithmsOnsite - NetflixMediumSoftware EngineerCount Pairs of Strings with Disjoint Character Sets
Tests bitmask representation of character sets, frequency-based pair counting, and handling edge cases like empty strings.
Coding & AlgorithmsTechnical ScreenBit ManipulationHash TableString - NetflixMediumData ScientistCritique culture memo and design probes
This question evaluates a candidate's ability to operationalize organizational values, assess cultural signals, and design measurable diagnostics, reflecting competencies in leadership, stakeholder communication, ethical judgment, and metrics-driven decision-making.
Behavioral & LeadershipHR Screen - NetflixHardSoftware EngineerDemonstrate domain expertise and ramp-up ability
This question evaluates domain expertise and ramp-up ability by examining prior experience, learning strategies for unfamiliar domains, cross-functional collaboration, and measurable impact within a software engineering context.
Behavioral & LeadershipTechnical Screen - NetflixHardData ScientistDemonstrate handling dismissive stakeholders with candor
This question evaluates a candidate's competency in stakeholder management, candid communication under pressure, conflict de-escalation, requirement elicitation, and outcome-oriented leadership for a Data Scientist role.
Behavioral & LeadershipOnsite - NetflixHardData ScientistDesign A/B Test for Streaming Feature Network Effects
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 Design A/B Test for Streaming Feature Network Effects states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Analytics & ExperimentationOther - NetflixMediumSoftware EngineerDesign Ad Frequency and Order Tracking
This question tests the ability to design a high-throughput, low-latency distributed counter service for frequency capping and an accurate tracking system for ad order delivery.
System DesignOnsiteScalabilityDistributed SystemsCaching - NetflixMediumSoftware EngineerDesign Netflix viewport deduplication
This interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Design Netflix viewport deduplication states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign Prefix-Aware Deduplication for Homepage Content Rows
Implement prefix-aware content row deduplication where protected row prefixes cannot share items across rows, while suffixes and exempt rows only enforce row-internal uniqueness.
Software Engineering FundamentalsTechnical ScreenArraysHash TableData Manipulation - NetflixHardSoftware EngineerDesign Publisher Configuration Rules
This question evaluates system design skills focused on configuration management and rule-based policy modeling for supply-side advertising platforms, covering inventory modeling, rule inheritance and overrides, conflict resolution, real-time evaluation, and operational controls like validation, versioning, rollout, and auditing.
System DesignOnsite
Netflix