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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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- 546
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- 11
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Showing 451–480 of 781 results
- MicrosoftMediumSoftware EngineerSolve binary-search knapsack & graph shortest path
This question evaluates a candidate's ability to apply algorithmic optimization by using binary search instead of dynamic programming for a knapsack-style selection problem and to construct and compute shortest paths on a weighted graph from custom input.
Coding & AlgorithmsOnline Assessment - MicrosoftMediumSoftware EngineerSolve budget queries and shortest path
This question evaluates algorithmic design and data-structure selection for efficient preprocessing and query answering, along with shortest-path computation and graph representation choices, testing complexity analysis, large-input handling, path reconstruction, and edge-case reasoning in the Coding & Algorithms domain.
Coding & AlgorithmsOnline Assessment - MicrosoftMediumSoftware EngineerSolve load balancing and perfect pairs
This question evaluates algorithm design, correctness proof, and complexity analysis skills by combining a contiguous partitioning load‑balancing optimization with a combinatorial/number‑theoretic pair‑counting problem.
Coding & AlgorithmsOnline Assessment - MillenniumMediumSoftware EngineerImplement paginated API ingestion
This question evaluates skills in API integration, paginated data ingestion, error handling with retries and exponential backoff, rate limiting, streaming CSV serialization without holding all records in memory, schema normalization, unit testing, and time/space complexity analysis.
Data Manipulation (SQL/Python)Online Assessment - Morgan StanleyMediumData ScientistAnswer basic probability and statistics questions
This problem tests your conceptual understanding of probability distributions, statistical bias in data collection, and the relationship between covariance and linear correlation.
Machine LearningOnline AssessmentStatisticsProbabilityBias - Morgan StanleyMediumSoftware EngineerCompute minimal cost to merge numbers
Compute minimal cost to merge numbers 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 & AlgorithmsOnline Assessment - Morgan StanleyMediumSoftware EngineerCount decodings of a digit string
Count decodings of a digit string 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 & AlgorithmsOnline Assessment - NVIDIAHardSoftware EngineerBuild a Jenkins CI for graphics tests
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 Build a Jenkins CI for graphics tests states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignOnline Assessment - NVIDIAMediumSoftware EngineerDefine a Git workflow for CI
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 Define a Git workflow for CI states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Software Engineering FundamentalsOnline Assessment - NVIDIAHardSoftware EngineerDesign a Dockerized GPU test pipeline
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 a Dockerized GPU test pipeline states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignOnline Assessment - NVIDIAMediumSoftware EngineerDesign an IR for test workflows
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 an IR for test workflows states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Software Engineering FundamentalsOnline Assessment - NVIDIAMediumSoftware EngineerExplain a graphics testing project in depth
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Explain a graphics testing project in depth states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnline Assessment - NVIDIAMediumSoftware EngineerExplain a shader compiler pipeline
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Explain a shader compiler pipeline states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsOnline Assessment - NVIDIAMediumSoftware EngineerExplain linear algebra for graphics transforms
This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Explain linear algebra for graphics transforms states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Statistics & MathOnline Assessment - NVIDIAMediumSoftware EngineerImplement a Python test harness
This interview question evaluates SQL or pandas logic, joins, grouping, window functions, null handling, edge cases, and validation in a realistic interview setting. A strong answer for Implement a Python test harness states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Data Manipulation (SQL/Python)Online Assessment - NVIDIAMediumSoftware EngineerImplement core graph algorithms for graphics
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Implement core graph algorithms for graphics states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsOnline Assessment - NebiusMediumSoftware EngineerSolve four coding problems
This set of problems evaluates algorithmic problem-solving skills focused on array and string manipulation, frequency and multiset reasoning, sliding-window and coverage concepts, and combinatorial counting for palindromability.
Coding & AlgorithmsOnline Assessment - NetflixMediumSoftware EngineerGroup users by same last K watched movies
This question evaluates competency in set operations, grouping via maps/dictionaries, and algorithmic complexity analysis when comparing suffixes of ordered lists.
Coding & AlgorithmsOnline Assessment - NetflixEasyMachine Learning EngineerML Basics Check: Bayes' Rule, Forward-Pass Arithmetic, KNN and Transformer Concepts
A set of basic machine learning checks: a Bayes' rule posterior with a low base rate, forward-pass and parameter-count arithmetic for small neural networks, and true-or-false concept checks on k-nearest neighbors and Transformer attention. It tests quick, accurate reasoning on core ML fundamentals.
Machine LearningOnline Assessment - NetflixEasyMachine Learning EngineerMultiply Two Sparse Integer Matrices Given as Dense Grids
Given two integer matrices stored as dense lists of rows in which most entries are zero, return their exact matrix product. It tests handling matrix dimensions correctly and exploiting sparsity to skip work on zero entries while still producing every entry of the result.
Coding & AlgorithmsOnline Assessment - OktaMediumSoftware EngineerBuild an Auth0-protected MCP server
This question evaluates proficiency in implementing JWT-based authentication and scope-based authorization for an HTTP service, covering token signature and claims validation, JWKS public-key verification, middleware integration, and propagation of identity information.
Software Engineering FundamentalsOnline Assessment - OneMain FinancialMediumData ScientistDetermine Optimal Marketing Budget Allocation for Maximum Profit
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 Determine Optimal Marketing Budget Allocation for Maximum Profit states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Analytics & ExperimentationOnline Assessment - OpenAIMediumData ScientistAnalyze A/B Test Results for Subscription Conversion Rates
Evaluates A/B test analysis for a limited-time free trial offer. Strong answers compute paid-conversion lift, account for trial starts and churn, test statistical significance, and make a launch decision using retained paid value, revenue, guardrails, and long-term holdouts.
Analytics & ExperimentationOnline Assessment - OpenAIHardSoftware EngineerCount Ordered Four-Shop Road Paths That Visit One Shop of Each Type
Count the ordered routes through a town's road network that visit exactly one shop of each of four types, where consecutive shops must share a direct road and a route and its reverse count separately. Tests graph modeling, path enumeration under type constraints and careful counting on small graphs.
Coding & AlgorithmsOnline Assessment - OpenAIMediumData ScientistDesign Schema and Logic for Subscription Event Tracking
This question evaluates proficiency in event-driven data modeling, temporal state derivation, and implementation of SQL/Python logic to compute per-user subscription status and history within the Data Manipulation (SQL/Python) domain.
Data Manipulation (SQL/Python)Online Assessment - OpenAIMediumData ScientistDesign Schema for Accurate Subscription State Tracking
This question evaluates proficiency in temporal schema design and event-level data modeling, focusing on reconstructing time-varying subscription state using SQL and Python in the Data Manipulation (SQL/Python) domain.
Data Manipulation (SQL/Python)Online Assessment - OpenAIMediumData ScientistDetermine Metrics to Measure Free-Trial Impact on Subscriptions
Determine Metrics to Measure Free-Trial Impact on Subscriptions 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 & ExperimentationOnline Assessment - OpenAIMediumData ScientistIdentify Bugs in Python Script for User Assignment
This question evaluates a candidate's ability to detect bugs and data-quality risks in a Python script, testing competencies in code review, reproducible randomization, idempotency, logging, duplicate-exposure safeguards, and safe experiment-assignment logic.
Coding & AlgorithmsOnline Assessment - OpenAIHardSoftware EngineerMicroorganism Eating Simulation: Largest Survivor After Left-to-Right Rounds
Simulate a row of microorganisms in which each one may eat a strictly smaller neighbor from a different family, with rounds resolved from left to right, and report the family and size of the largest survivor at equilibrium. It tests precise rule-following, list mutation during iteration, and careful per-round bookkeeping.
Coding & AlgorithmsOnline Assessment - OptiverMediumSoftware EngineerBuild and Validate a Binary Tree from Parent-Child Pairs
This question evaluates understanding of tree and graph concepts, strict string parsing and validation, duplicate and cycle detection, and the construction of canonical S-expressions within the Coding & Algorithms category.
Coding & AlgorithmsOnline Assessment
Microsoft
Millennium
Morgan Stanley
NVIDIA
Netflix
Okta
OneMain Financial
OpenAI
Optiver