practice a little every day, paws crossed ♡
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 4111–4140 of 9403 results
- IBMMediumSoftware EngineerCount Index Triplets Whose Max Minus Min Is at Most d
A counting problem that asks how many triplets of positions in an integer array have a spread, the largest value minus the smallest, of at most d. It tests handling duplicates and inclusive bounds, producing a count that can exceed 32 bits, and meeting time limits for arrays of up to 100,000 elements.
Coding & AlgorithmsTechnical Screen - IBMMediumSoftware EngineerCount Replacements Needed to Separate Equal Adjacent Characters
This problem tests your ability to identify and process consecutive character runs in strings and apply greedy calculations to minimize replacement operations.
Coding & AlgorithmsOnline AssessmentGreedyStringsArray - IBMMediumSoftware EngineerCount Seat-Price Trios Within a Budget Spread
Count how many trios of resale-marketplace seat listings have prices within a fixed budget spread of each other, using sorting and a two-pointer sweep instead of an O(n^3) scan.
Coding & AlgorithmsTechnical Screensortingtwo-pointerscombinatorics - IBMMediumSoftware EngineerCount Sensor Trios Within a Tolerance Band
Count how many groups of three readings stay inside a tolerance band (max minus min within a limit). Tests sorting, a sliding window, combinatorial counting and handling of duplicates and large totals.
Coding & AlgorithmsTechnical Screensortingtwo-pointerscombinatorics - IBMMediumSoftware EngineerCount Tree Vertices with Pythagorean Distances
Calculate distances from three fixed vertices to all other vertices in an unweighted tree and count those whose strictly positive distances form a Pythagorean triple.
Coding & AlgorithmsOnline AssessmentTreesBFSGraph - IBMMediumSoftware EngineerDebug and Harden a Ticketing Backend API
Implement and harden an in-memory ticket service backend to handle deterministic cursor pagination, idempotent reservations, cache invalidation, and oversell prevention.
Software Engineering FundamentalsOnline AssessmentAPI DesignCachingPagination - IBMMediumSoftware EngineerDescribe open-source contribution experience
This IBM software-engineer take-home behavioral question evaluates your open-source contribution experience end to end: the projects and repositories you worked on, your specific roles and most impactful contributions, how you collaborated with maintainers through issues, code reviews, and RFCs, and the lessons you took from code reviews and issue triage. A strong answer goes deep on one or two repositories with quantified, evidence-backed impact.
Behavioral & LeadershipOnline Assessment - IBMEasyData ScientistDesign a lead-scoring model
Design an end-to-end lead-scoring model for a marketing/growth data science team: define the label and scoring time, engineer leakage-safe features, compare a logistic-regression baseline with gradient-boosted trees, and evaluate with capacity-aware ranking metrics. The question also probes multicollinearity, model interpretability (SHAP/reason codes), routing-threshold design, and operational risks like selection bias, class imbalance, fairness, and drift.
Machine LearningTechnical Screen - IBMHardSoftware EngineerDesign a multithreaded CPU 1D convolution
An IBM software-engineer take-home that asks you to design and implement a multithreaded CPU version of valid 1D convolution across three regimes: a tiny kernel (K=3), a kernel as long as the input (K=N, a single dot product), and a 100-thread cap. It evaluates parallel decomposition, scheduling, cache locality, false-sharing avoidance, SIMD vectorization, and reduction/synchronization choices.
System DesignOnline Assessment - IBMEasyData ScientistEstimate free-trial conversion probability
This question evaluates a data scientist's competency in cohort definition, censored-data handling, segmentation and confounding assessment, and uncertainty quantification for measuring free-trial to paid conversion, and it belongs to the Analytics & Experimentation domain within data science.
Analytics & ExperimentationTechnical Screen - IBMEasySoftware EngineerExplain CI/CD, Kubernetes delivery, and troubleshooting
This question evaluates operational DevOps and cloud-native competencies, specifically CI/CD concepts and tools, GitOps delivery with Argo CD, Kubernetes deployment and troubleshooting (including Helm and StatefulSet vs Deployment), containerization rationale, Linux process and file inspection, network diagnostics, database deployment safety, and infrastructure concepts such as HPC and VPC. It is commonly asked in Software Engineering Fundamentals and DevOps interviews to measure production-readiness, troubleshooting ability, and tooling familiarity, emphasizing practical application while requiring underlying conceptual understanding of system behavior and reliability.
Software Engineering FundamentalsOnsite - IBMMediumSoftware EngineerFind Customers Whose Average Website Resource Usage Exceeds 50 Percent
Practice PostgreSQL aggregation with HAVING, customer-level average resource utilization, strict thresholds, two-decimal rounding, and ascending email output.
Data Manipulation (SQL/Python)Online Assessment - IBMMediumSoftware EngineerFind minimum subarray length with k distinct integers
This question tests proficiency with the sliding window technique and hash map-based frequency tracking, applied to subarray problems requiring exact cardinality constraints. It assesses the ability to distinguish between "exactly k distinct" and "at most k distinct" variants — a nuance that reveals depth in algorithmic thinking commonly evaluated in software engineering interviews.
Coding & AlgorithmsTechnical Screen - IBMMediumSoftware EngineerFunction Signature Lookup with Exact and Variadic Parameter Matching
A coding question about an IDE-style signature lookup engine: given registered functions, some whose last parameter is variadic, return for each call the sorted names of every function that accepts its argument types. It tests exact type-sequence matching, zero-or-more variadic arguments and edge cases such as empty argument lists.
Coding & AlgorithmsTechnical Screen - IBMEasyData ScientistHow do you detect and fix multicollinearity?
This question evaluates understanding of multicollinearity and related competencies in regression diagnostics, feature engineering, model interpretability, and the trade-offs between coefficient inference and predictive performance.
Statistics & MathTechnical Screen - IBMEasySoftware EngineerHow would you use generative AI at work?
This question evaluates a candidate's judgment and leadership in applying generative AI tools, testing competencies in risk assessment, data confidentiality, security awareness, correctness verification, and team change management for a software engineer role.
Behavioral & LeadershipOnsite - IBMMediumSoftware EngineerManage Authentication Tokens with a Fixed Time to Live
Design an authentication token manager that handles token generation, renewal, and active token counting based on a fixed time-to-live.
Coding & AlgorithmsOnline AssessmentHash MapDesignQueue - IBMMediumSoftware EngineerMaximize Revenue from Depleting VM Inventory
This problem tests your ability to efficiently manage and update a dynamic collection of items using a priority queue to always extract the maximum value.
Coding & AlgorithmsOnline AssessmentBinary SearchGreedyOptimization - IBMMediumSoftware EngineerMaximize Revenue from Depleting VM Stock
Tests greedy optimization, sorting, and arithmetic progression math to compute maximum revenue from diminishing-value stock with large order quantities.
Coding & AlgorithmsOnline Assessmentgreedybinary-searchmath - IBMMediumSoftware EngineerMaximize palindromic strings after character swaps
This question evaluates proficiency in string manipulation, combinatorial character-count reasoning, and redistribution of characters under constrained swap operations within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - IBMMediumSoftware EngineerSix Timed Behavioral Prompts: AI Tools, Debugging, Teamwork, Explaining, Goals, Quality
Six prompts from a recorded behavioral interview, each with one minute to prepare and three minutes to answer: vetting an AI tool's output, diagnosing a failure, teamwork, explaining your work, reaching a goal, and verifying that something you built works. Tests structured, specific storytelling under strict time limits.
Behavioral & LeadershipOnline Assessment - IBMEasySoftware EngineerSum Pairwise Remainders Across Two Integer Ranges
Calculate the total sum of remainders obtained by taking each integer in a dividend range modulo each non-zero divisor in a divisor range. The problem tests division properties, edge-case handling for zero divisors, and avoiding integer overflow.
Coding & AlgorithmsOnline AssessmentMathAlgorithmsArithmetic - IBMEasySoftware EngineerSum the XOR of Every Cross-Array Pair
Tests bitwise frequency analysis and arithmetic optimization by reducing an O(N * M) cross-product XOR sum to an O(B * (N + M)) bit-by-bit contribution calculation.
Coding & AlgorithmsOnline Assessmentbit-manipulationmatharrays - IBMEasyData ScientistWrite SQL to compute max and min marks
This question evaluates a candidate's ability to perform basic data aggregation in SQL, specifically computing summary statistics from a single table. It is commonly asked to assess competence in data manipulation and query result shaping within the Data Manipulation (SQL/Python) domain, focusing on practical application of SQL aggregation rather than purely conceptual theory.
Data Manipulation (SQL/Python)Online Assessment - IXL LearningEasySoftware EngineerDebug Kubernetes crashes and review Python ingestion script
This question evaluates operational debugging and system reliability skills — specifically Kubernetes pod/container troubleshooting, health-probe configuration, and practical Python ETL code review, focusing on observability, dependency management, and production-readiness.
Software Engineering FundamentalsTechnical Screen - IXL LearningMediumSoftware EngineerFind value on most distinct levels
This question evaluates a candidate's understanding of binary tree structures, level-wise aggregation and frequency analysis, along with algorithm design and complexity reasoning.
Coding & AlgorithmsTechnical Screen - IXL LearningMediumSoftware EngineerIdentify and prevent code-breaking inputs
Identify and prevent code-breaking inputs 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 - IXL LearningHardSoftware EngineerMaintain a Stream Median
This question tests the ability to maintain dynamic order statistics in a streaming context, requiring an efficient way to insert elements and compute the median in logarithmic time.
Coding & AlgorithmsTechnical ScreenHeapsData StructuresAlgorithms - IXL LearningMediumSoftware EngineerSolve snake game, peak search, and task scheduling
Solve snake game, peak search, and task scheduling 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 - IllumioMediumSoftware EngineerCount Regions in a Binary Grid
This problem tests your ability to navigate a 2D grid and identify connected components using graph traversal techniques like Depth-First Search (DFS) or Breadth-First Search (BFS).
Coding & AlgorithmsOnsiteDFSBFSGraph
IBM
IXL Learning