Amazon interview questions

Showing 271–300 of 653 results

• Design rolling-window top-K click trackerMedium

  Design rolling-window top-K click tracker 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.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Design secure multi-tier cloud infrastructureHard

  This question evaluates cloud systems design competencies including multi-tier network architecture, IP addressing and capacity planning, security controls, centralized server management, shared storage trade-offs, and identity and access integration within a production-scale virtual private cloud.

  AmazonSoftware EngineerSystem DesignTechnical Screen
• Design student–course data models and SQLMedium

  This question evaluates data modeling, database design, and SQL proficiency—covering normalization, schema constraints, indexing, star-schema warehousing, slowly changing dimensions, partitioning strategies, and complex analytic queries—in the domain of relational databases and data warehousing (Data Manipulation/SQL).

  AmazonData ScientistData Manipulation (SQL/Python)Onsite
• Design systems for global request detection and labelingHard

  This problem tests the architecture of a high-throughput streaming system capable of detecting anomalies in real-time, managing extreme class imbalance for labeling, and maintaining low-latency inference at a global scale.

  AmazonApplied ScientistML System DesignOnsite
• Designing AI Features for Grocery Customers: Segment, Pain Points, Prioritized RoadmapMedium

  A product sense question from Amazon product manager interviews on applying AI to make grocery shopping better for customers. It tests choosing a shopper segment, mapping the shopping journey, picking problems where AI adds real value, prioritizing a first release, and setting metrics and guardrails for prediction errors.

  AmazonProduct ManagerProduct Design & StrategyOther
• Designing a Bayesian Classifier for Case AnalysisMedium

  Tests your ability to design a probabilistic Bayesian classification system under conditions of informative missingness, non-stationary class priors, and strict calibration requirements.

  AmazonApplied ScientistMachine LearningOnsite
• Detect and Break a Cycle in a Singly Linked ListMedium

  Tests detection and resolution of cycles in singly linked lists using two-pointer techniques with constant auxiliary space.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Detect cycle in a directed graphMedium

  This question evaluates mastery of graph algorithms and graph theory concepts—specifically directed cycle detection—and assesses the ability to reason about algorithmic correctness and to analyze time and space complexity for competing approaches.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Detect cycles in lists and graphsMedium

  This question evaluates understanding of cycle detection in linked lists and directed graphs, assessing competencies in pointer manipulation, graph traversal strategies, and reasoning about algorithmic time and space complexity within the Coding & Algorithms domain.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Detect words formed by multiple dictionary partsMedium

  This question evaluates proficiency in string processing, selection and use of appropriate data structures and algorithms (hashing, tries), dynamic programming and memoization, and complexity analysis for large inputs and edge-case handling within the Coding & Algorithms domain.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Determine Discount's Effect on Conversion Rate with A/B TestingMedium

  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 Discount's Effect on Conversion Rate with A/B Testing states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  AmazonData ScientistAnalytics & ExperimentationTechnical Screen
• Determine Length of Longest Unique SubstringMedium

  This question evaluates string-processing skills and algorithmic problem-solving, including handling character uniqueness and performance considerations. Commonly asked in Coding & Algorithms interviews to assess a candidate's ability to implement efficient solutions and reason about time/space trade-offs, it targets practical application rather than purely conceptual understanding.

  AmazonData ScientistCoding & AlgorithmsTechnical Screen
• Determine Probability of Both Children Being BoysMedium

  Evaluates conditional probability reasoning in the classic two-children problem with different observation mechanisms. Strong answers enumerate ordered outcomes, condition correctly, and compare at-least-one, older-child, and random-child cases.

  AmazonData ScientistStatistics & MathTechnical Screen
• Determine Rounds for Star Substring ThresholdMedium

  This question evaluates string-processing and algorithmic problem-solving skills, including handling incremental updates, counting substrings impacted by character replacements, and performance-aware simulation.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Determine Whether All Courses Can Be CompletedMedium

  This problem tests your ability to model dependencies using a directed graph and detect cycles to determine if a set of tasks can be completed.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Determine Whether One Person Can Attend Every MeetingEasy

  This problem tests your ability to handle interval sorting and linear-time overlap detection to ensure no two meetings conflict.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Determine Whether Package Weights Can Be Safely ArrangedMedium

  Tests array manipulation, counting techniques, and greedy or constraint-satisfaction logic to determine if an array can be permuted so no two adjacent elements sum to ten or more.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Determine Whether a Binary Tree Is a Valid BSTMedium

  Determine whether an entire breadth-first encoded binary tree obeys the strict BST invariant. Use ancestor bounds rather than only parent-child checks, reject duplicates, handle numeric extremes, and discuss an iterative approach for deep trees.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Determine if all courses can be completedMedium

  This problem tests your ability to model prerequisites as a directed graph and detect cycles to determine if a valid topological ordering exists.

  AmazonApplied ScientistCoding & AlgorithmsTechnical Screen
• Determine string segmentability with dictionaryMedium

  This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Determine string segmentability with dictionary states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Diagnose Bias–Variance Trade-off in Supervised LearningMedium

  Diagnose Bias–Variance Trade-off in Supervised Learning 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.

  AmazonData ScientistMachine LearningOnsite
• Diagnose Business Decline Using Key Data MetricsMedium

  Diagnose Business Decline Using Key Data Metrics 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.

  AmazonData ScientistAnalytics & ExperimentationOnsite
• Diagnose Causes and Test Hypotheses for Metric DropMedium

  Evaluates incident-style analysis of a sudden purchase-conversion drop in a consumer product. Strong answers list plausible causes, validate with concrete cuts and logs, design an A/B test, and define metrics.

  AmazonData ScientistAnalytics & ExperimentationTechnical Screen
• Diagnose MySQL joins and GROUP BY/HAVING errorsMedium

  This question evaluates mastery of SQL join semantics (LEFT, RIGHT, FULL OUTER emulation, CROSS), NULL equality and duplicate handling, GROUP BY/HAVING behavior under ONLY_FULL_GROUP_BY, aggregation result shaping and type/format conversions in the Data Manipulation (SQL/Python) domain.

  AmazonData ScientistData Manipulation (SQL/Python)Online Assessment
• Diagnose Return Eligibility Scoring BugsHard

  This question evaluates debugging and root-cause analysis skills related to scoring logic, data integrity, feature engineering, and system reliability in return-eligibility services.

  AmazonSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
• Digging Into Details: Untangling a Complex Team Problem and Finding a Root CauseMedium

  Two behavioral prompts on diving deep: describe untangling a complex team problem by examining the details yourself, and finding the true root cause behind a misleading first explanation. It assesses hands-on investigation, rigor with evidence and fixes that prevent recurrence.

  AmazonSoftware EngineerBehavioral & LeadershipOther
• Discuss AI Use, Deadlines, Ambiguity, and FeedbackEasy

  Prepare evidence-based behavioral stories about generative AI use, technical complexity, deadlines, ambiguity, ownership, critical feedback, and rapid learning. Emphasize personal decisions, verification, stakeholder communication, honest trade-offs, measurable outcomes, and lessons from imperfect results.

  AmazonSoftware EngineerBehavioral & LeadershipOnsite
• Discuss Feedback, User Needs, Influence, Deadlines, and LearningEasy

  This set of behavioral prompts evaluates a candidate's ability to navigate high-pressure engineering environments, focusing on self-awareness, cross-functional collaboration, and technical growth.

  AmazonSoftware EngineerBehavioral & LeadershipTechnical Screen
• Discuss deadline, challenge, featureMedium

  Discuss deadline, challenge, feature 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.

  AmazonSoftware EngineerBehavioral & LeadershipTechnical Screen
• Discuss deadlines, feedback, and deep divesMedium

  An Amazon software engineer behavioral screen covering deadline and prioritization skills, accountability for a missed deadline, response to negative feedback, going beyond requirements, root-cause deep dives with verification, and thoughtful reverse questions for the hiring manager. Includes STAR(L) sample answers and a scoring rubric tied to Amazon's Leadership Principles.

  AmazonSoftware EngineerBehavioral & LeadershipTechnical Screen