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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 811–840 of 9403 results
- AmazonMediumData ScientistMitigate Data Mistakes and Improve Team Efficiency
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Mitigate Data Mistakes and Improve Team Efficiency states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipTechnical Screen - AmazonMediumSoftware EngineerModel an Extensible Employee Cost Calculator
Model an extensible employee cost calculator combining salary, tax, benefits, and a signed location adjustment. Discuss precise money handling, explicit missing policies, canonical identifiers, versioned configuration, reproducible breakdowns, and boundary-focused tests.
Software Engineering FundamentalsOnsite - AmazonMediumData ScientistNavigate Crises and Sustain Team Morale Under Pressure
Navigate Crises and Sustain Team Morale Under Pressure 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 & LeadershipOnsite - AmazonMediumFrontend EngineerNavigate a Tight Deadline and an Ambiguous Engineering Project
This question assesses a candidate's ability to maintain engineering standards and project momentum when facing high-pressure timelines and limited requirements.
Behavioral & LeadershipTechnical ScreenBehavioralProject ManagementPrioritization - AmazonMediumSoftware EngineerNegotiate an Impossible Project Timeline
This question assesses your ability to manage stakeholder expectations, use data to drive project scoping, and maintain professional integrity when facing unrealistic deadlines.
Behavioral & LeadershipOnsiteLeadershipProject ManagementStakeholder Management - AmazonMediumData ScientistOptimize Email Strategy for New Prime Video Series Launch
Evaluates email targeting and ranking strategy for a new Prime Video series launch. Strong answers cover data needs, cold start, ranking models, offline metrics, A/B testing, guardrails, and model selection.
Machine LearningOnsite - AmazonMediumData ScientistOptimize Predictive Analytics: Feature Engineering to Model Evaluation
Evaluates end-to-end predictive analytics project communication for a technical data-science interview. Strong answers cover business objectives, data, leakage controls, features, models, evaluation, errors, and impact.
Machine LearningTechnical Screen - AmazonMediumData ScientistOptimize XGBoost for Predicting Marketing Outcomes
Optimize XGBoost for Predicting Marketing Outcomes evaluates core ML concepts, assumptions, math intuition, training/evaluation trade-offs, and practical failure modes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Machine LearningOnsite - AmazonHardSoftware EngineerOptimize attention for long sequences
Optimize attention for long sequences evaluates ML product requirements, data/labeling, modeling, serving architecture, evaluation, monitoring, and trade-offs in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
ML System DesignTechnical Screen - AmazonMediumSoftware EngineerOptimize with a cache/hash map
Amazon software-engineer technical-screen coding follow-up: take an existing script (e.g. one that resolves file paths or parses license strings) and design a hash-map-backed in-memory cache to speed up repeated lookups. It tests choosing a cacheable computation, defining normalized keys and values, estimating hit rate, picking an eviction policy (LRU/LFU/TTL), invalidating on file mtime/content-hash changes, ensuring concurrency safety, and analyzing time and space complexity before and after caching.
Coding & AlgorithmsTechnical Screen - AmazonMediumSoftware EngineerOrder Dependent Tasks and Identify Work to Rerun
Return any valid dependency order, detect cycles, and identify transitive reruns with a complete topological and reachability solution and order-independent validation.
Coding & AlgorithmsOnsite - AmazonMediumSoftware EngineerOrganize a Product Initiative Across Stakeholders
This question assesses a candidate's ability to drive complex, cross-functional projects by aligning stakeholders, managing interdependencies, and adapting to shifting priorities.
Behavioral & LeadershipTechnical ScreenBehavioralLeadershipProject Management - AmazonMediumSoftware EngineerOvercome an Obstacle That Threatens Delivery
Describe a significant obstacle that threatened an outcome you owned and required more than extra personal effort. Explain how you diagnosed the true constraint, changed the plan, communicated trade-offs, aligned people, and reached a responsible result.
Behavioral & LeadershipTechnical Screen - AmazonMediumSoftware EngineerOvercoming Major Obstacles to Reach an Important Goal
A behavioral interview question asking the candidate to describe a time they overcame significant obstacles to reach an important goal. It tests ownership, persistence and judgment: how the obstacles were identified, which actions removed them, what result was achieved and what was learned.
Behavioral & LeadershipOnsite - AmazonMediumFrontend EngineerOwn a Mistake with Real Consequences
This question assesses the candidate's integrity, ownership, and ability to implement systemic improvements following a significant professional error.
Behavioral & LeadershipOnsiteBehavioralOwnershipLeadership - AmazonMediumSoftware EngineerOwnership Beyond Your Role: Stepping Outside Your Area and Driving an Improvement
An Amazon behavioral question on ownership: describe taking on significant work outside your area of responsibility, and spotting a company improvement that you then drove to completion. It tests initiative, influence without authority, sustainable follow-through and measurable impact.
Behavioral & LeadershipOnsite - AmazonHardData ScientistPlan and analyze an A/B test
This question tests the ability to design a statistically rigorous A/B test by accounting for clustered randomization, sequential testing boundaries, and multiple comparison corrections.
Statistics & MathTechnical ScreenExperimental DesignPower AnalysisClustered Data - AmazonMediumMachine Learning EngineerPredict Click Probability for Music Recommendations
Design music recommendation CTR prediction with song embeddings, sparse-feature handling, model comparison, calibration, and online evaluation.
ML System DesignTechnical Screen - AmazonMediumFrontend EngineerPredict JavaScript let and var Behavior
Tests deep understanding of JavaScript variable declarations (var vs let), focusing on hoisting, the Temporal Dead Zone (TDZ), block vs function scoping, and per-iteration lexical bindings in asynchronous loops.
Software Engineering FundamentalsOnsitejavascriptclosureshoisting - AmazonHardApplied ScientistPrepare For An Applied Science Manager Project And Leadership Screen
Prepare for an applied science manager phone screen with a search-ranking project deep dive and leadership behavioral questions. The prompt helps candidates connect model decisions, A/B tests, business impact, team coaching, conflict resolution, and measurable outcomes.
Behavioral & LeadershipTechnical Screen - AmazonHardSoftware EngineerPrepare Leadership Principle Stories
This question assesses the ability to articulate past professional experiences using the STAR (Situation, Task, Action, Result) method, specifically focusing on demonstrating accountability, bias for action, and navigating high-stakes ambiguity.
Behavioral & LeadershipOnsiteBehavioralSTAR-MethodLeadership - AmazonEasySoftware EngineerPrint all odd numbers from an integer list
This question tests the ability to filter a collection based on a parity condition and handle potential overflow or negative integer scenarios.
Coding & AlgorithmsTechnical ScreenArraysBasic LogicFiltering - AmazonMediumData ScientistPrioritize Tasks and Respond to Coworker Concerns
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Prioritize Tasks and Respond to Coworker Concerns states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnline Assessment - AmazonMediumSoftware EngineerPrioritize Under a Tight Deadline
This question evaluates a software engineer's skills in prioritization, resource management, stakeholder communication, risk assessment, and leadership within project delivery, and is categorized as Behavioral & Leadership testing project management and decision-making under constraints.
Behavioral & LeadershipTechnical Screen - AmazonHardData ScientistPrioritize a new warehouse proposal with data
This question evaluates demand forecasting, network optimization, five-year NPV financial modeling, experiment and quasi-experiment design for incrementality estimation, sensitivity analysis, and stakeholder communication within the analytics & experimentation domain for data science roles focused on warehouse/fulfillment center decisions.
Analytics & ExperimentationTechnical Screen - AmazonHardProduct ManagerProduct Design Case Mix
Practice product design case scenarios covering cross-border U.S. book sales to Korea, accurate delivery ETA experiences, and a next-generation washer. The solution includes users, MVPs, architecture, metrics, GTM, risks, and rollout plans.
Product / Decision MakingTechnical Screen - AmazonMediumProduct ManagerProduct Strategy: Choosing Amazon's Next Build for Third-Party Seller Pain Points
A product sense question asking an Amazon product manager what to build next to make selling on Amazon better for merchants. It tests tying seller experience to Amazon's selection flywheel, segmenting merchants and their journey, scoping one product with a prioritized first version, and setting seller metrics with shopper guardrails.
Product Design & StrategyOther - AmazonMediumData ScientistProfile and visualize an unfamiliar dataset
This question evaluates a data scientist's competency in exploratory data analysis, data quality assessment, time-series aggregation, visualization design, and concise stakeholder communication when working with an undocumented events-plus-purchases CSV.
Analytics & ExperimentationTechnical Screen - AmazonHardData ScientistQuantify build-vs-buy training decision
This question evaluates proficiency in quantitative decision analysis, causal inference for experimentation, KPI definition, and risk‑adjusted financial modeling within the Analytics & Experimentation domain, assessing skills relevant for a Data Scientist making operational trade‑offs.
Analytics & ExperimentationOnline Assessment - AmazonMediumSoftware EngineerRate Engineering Work Simulation Responses
This situational judgment exercise evaluates your ability to balance technical quality, customer impact, ownership, and stakeholder communication when resolving high-stakes engineering dilemmas under tight deadlines.
Behavioral & LeadershipOnline Assessmentsituational-judgmentleadership-principlesamazon-oa
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