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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 61–90 of 9403 results
- AdobeMediumSoftware EngineerLearn from a Major Work Setback
Describe a consequential professional setback that left you frustrated or disappointed. Focus on what was under your control, your response, the perspectives of others, and a lasting change in process or judgment.
Behavioral & LeadershipOnsite - AdobeHardMachine Learning EngineerOptimize LLM Training and Serving
This question tests the ability to diagnose hardware utilization bottlenecks in LLM workloads and design architectural optimizations to improve throughput and latency under constrained GPU memory resources.
ML System DesignOnsiteLLMGPU-ArchitecturePerformance-Engineering - AdobeMediumSoftware EngineerReturn a Binary Tree in Level Order
Return a binary tree's values grouped by depth in level order while preserving left-to-right order within each level. Handle empty, repeated-value, skewed, and very large trees without changing the requested nested output shape.
Coding & AlgorithmsOnsite - AdobeMediumData ScientistSolve SQL and Python Data Manipulation Tasks
This question evaluates proficiency in SQL event-log aggregation and basic Python data-structure transformations, assessing competencies such as counting distinct users, identifying frequent event types, and performing dictionary/list/string manipulations.
Data Manipulation (SQL/Python)Onsite - AdobeMediumSoftware EngineerTraverse a path and print directory tree
This problem tests your ability to recursively traverse a directory structure and format the output into a human-readable, indented tree structure while handling potential I/O errors.
Coding & AlgorithmsTechnical ScreenRecursionNode.jsFilesystem - AdobeEasyData ScientistUnderstand P-Value's Role in Product Decision-Making
This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Understand P-Value's Role in Product Decision-Making states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Statistics & MathOnsite - AdyenEasyMachine Learning EngineerBuild a Payment Fraud Detection Model
Tests practical machine learning design for payment fraud detection, covering data preprocessing, temporal validation splits, class imbalance handling, and metric selection.
Machine LearningHR ScreenFraud DetectionClassificationFeature Engineering - AdyenMediumSoftware EngineerDemonstrate ownership in a project deep dive
Demonstrate ownership in a project deep dive evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipTechnical Screen - AdyenHardSoftware EngineerDesign scalable LRU cache and backtracking API
Design scalable LRU cache and backtracking API 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 - AdyenMediumSoftware EngineerImplement LRU and target-sum combinations
Implement LRU and target-sum combinations 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 - AeoneaMediumSoftware EngineerFill missing values with means
This question evaluates proficiency in missing-data imputation and pandas DataFrame manipulation, testing skills in column-wise aggregation, group-wise operations, and edge-case handling within the Data Manipulation (SQL/Python) domain.
Data Manipulation (SQL/Python)Technical Screen - AeoneaMediumSoftware EngineerFind two numbers summing to target
This question evaluates algorithm design and complexity analysis skills, specifically the ability to identify element pairs in arrays and reason about time-space tradeoffs.
Coding & AlgorithmsTechnical Screen - AeoneaMediumSoftware EngineerImplement a tennis score tracker
This question evaluates a candidate's ability to implement stateful scoring logic and choose appropriate data structures for tracking sequential events, specifically handling tennis scoring rules such as 0/15/30/40 progression, Deuce, Advantage, and the two-point lead requirement.
Coding & AlgorithmsTechnical Screen - AffirmMediumSoftware EngineerAggregate loans and match repayments
Implement a transaction matching engine that aggregates user loans and allocates repayments chronologically to outstanding balances using a FIFO waterfall approach.
Coding & AlgorithmsTechnical Screenarrayshash-tablesorting - AffirmMediumData ScientistAnalyze Loan Payments Using Pandas for Key Insights
This question evaluates data manipulation and aggregation skills using pandas, focusing on computing per-loan payment totals, payment success rates, and a repayment-status flag. It is commonly asked to assess applied data wrangling and numeric summarization abilities in the Data Manipulation (SQL/Python) domain, testing practical application rather than purely conceptual understanding.
Data Manipulation (SQL/Python)Technical Screen - AffirmMediumSoftware EngineerAnalyze Returning Borrowers Across Two Days of Logs
Process two daily loan activity logs to identify users active on both days with diverse loan types, then score them using a configurable trust policy.
Data Manipulation (SQL/Python)Technical ScreenData ManipulationHash TablePython - AffirmEasyData ScientistCalculate Profit of 4-Month Loan at 30% APR
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 Calculate Profit of 4-Month Loan at 30% APR states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Analytics & ExperimentationTechnical Screen - AffirmMediumData AnalystChoose the Next Product or Vertical for a Lending Business
Compare lending product and vertical investments using demand, contribution economics, credit risk, execution capacity, scenarios, and bounded pilots.
Product / Decision MakingTechnical Screen - AffirmHardSoftware EngineerCompute Balances and Minimize Settlements
Tests transaction aggregation into net balances and combinatorial optimization (backtracking/bitmask DP) to find the minimum number of settlement transfers needed to clear all debts.
Coding & AlgorithmsOnsiteDynamic ProgrammingBacktrackingBitmask - AffirmMediumData AnalystConnect Analyst Experience, Delivered Insights, and Your Next Role
Practice connecting relevant analyst work, a concrete delivered insight and the responsibilities you want in a credit-risk role.
Behavioral & LeadershipTechnical Screen - AffirmMediumSoftware EngineerDescribe Feedback from a Manager and How You Acted on It
This question assesses your self-awareness, coachability, and ability to translate constructive criticism into measurable professional growth.
Behavioral & LeadershipHR ScreenBehavioralGrowth MindsetCommunication - AffirmMediumSoftware EngineerDescribe a Mentoring Experience and Its Outcome
This question evaluates your capacity for long-term technical mentorship, specifically focusing on your ability to adjust your teaching style, foster autonomy in others, and maintain professional boundaries regarding credit.
Behavioral & LeadershipHR ScreenMentorshipLeadershipSoft Skills - AffirmMediumSoftware EngineerDescribe your highest-impact project
This question evaluates leadership, ownership, impact measurement, cross-functional collaboration, and technical decision-making competencies by asking for a concrete example of a high-impact project.
Behavioral & LeadershipTechnical Screen - AffirmMediumSoftware EngineerDesign Installment-Loan Payment Processing
Design installment-loan payment processing around a bank debit API available during one daily one-hour window. Unify manual and scheduled intents, prevent duplicate debits with durable idempotency and state transitions, reconcile unknown outcomes, apply accounting atomically, and notify through an outbox.
System DesignTechnical Screen - AffirmEasySoftware EngineerDesign a High-Card Game with a Persistent Tie Pot
Design a high-card game in which tied rounds carry a persistent pot into later rounds, first for two players and then for many. Define card ownership, tie and exhaustion policies, deterministic shuffling, termination rules, extensible classes, and tests for tricky state transitions.
Software Engineering FundamentalsTechnical Screen - AffirmEasySoftware EngineerDesign a Ticketmaster-like ticketing system
This question tests your ability to design a high-concurrency booking system, focusing on preventing double-bookings, managing seat holds, and ensuring system availability during high-traffic events.
System DesignOnsiteConcurrencyDistributed SystemsCaching - AffirmHardSoftware EngineerDesign an A/B Testing Platform
Design a high-scale, low-latency experimentation and A/B testing platform capable of deterministic user bucketing, high-throughput exposure and metric ingestion, and automated statistical reporting.
System DesignOnsitesystem-designdistributed-systemsdata-engineering - AffirmMediumSoftware EngineerDetect fraud events and extract PII
This problem tests your ability to process nested JSON-like structures, perform deduplication, and map related entities to detect fraudulent patterns.
Coding & AlgorithmsTechnical ScreenGraphHash MapDSU - AffirmMediumSoftware EngineerDetermine Redeemable Promotion Offers
This problem tests your ability to manage stateful constraints by processing a stream of promotional event logs to determine if a user remains eligible for a discount based on a per-user, per-promotion usage limit.
Coding & AlgorithmsTechnical ScreenHashMapsDataAggregationStreamProcessing - AffirmMediumData ScientistDiagnose Sudden Drop in Credit-Card Approval Rate
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 Diagnose Sudden Drop in Credit-Card Approval Rate states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Analytics & ExperimentationTechnical Screen
Adobe
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