Amazon interview questions

Showing 31–60 of 653 results

• Assess Culture Fit Through Behavioral Interview QuestionsMedium

  Evaluates culture-fit behavioral answers for inventing and simplifying, customer communication, and innovation. Strong answers use STAR, show stakeholder judgment, quantify impact, and reflect on lessons.

  AmazonData ScientistBehavioral & LeadershipOnsite
• Assess cooldown and plan interview strategyMedium

  This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Assess cooldown and plan interview strategy states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  AmazonSoftware EngineerBehavioral & LeadershipOnsite
• Behavioral Deep-Dive & Leadership ScenariosHard

  Practice behavioral deep-dive and leadership scenarios for Product Managers, including high-impact projects, cross-functional programs, complex launches, process improvement, strategy focus, influence, disagreement, limited-data decisions, leadership principles, and input metrics.

  AmazonProduct ManagerBehavioral & LeadershipTechnical Screen
• Behavioral Problem-Solving ScenariosMedium

  Practice Amazon Product Manager behavioral scenarios with structured STAR examples for data-driven problem solving, complex constraints, difficult customers, fast decisions, and ownership beyond scope. The solution emphasizes metrics, trade-offs, guardrails, reusable mechanisms, and interview-ready answer patterns.

  AmazonProduct ManagerBehavioral & LeadershipOnsite
• Behavioral: Ambiguity & Conflict ResolutionMedium

  Practice behavioral PM answers about delivering results amid ambiguity and resolving principled disagreement. The guide uses STAR examples to show customer problem framing, metrics, experiments, decision docs, stakeholder alignment, respectful conflict, disagree-and-commit behavior, and measurable outcomes.

  AmazonProduct ManagerBehavioral & LeadershipTechnical Screen
• Behavioral: Resolving a Workplace Conflict and Using Generative AI in Your WorkMedium

  A two-part behavioral question from a software engineering onsite: describe a conflict with a coworker and how it was resolved, then explain how you have used generative AI in your work. It tests ownership, settling disagreements with evidence, verifying AI output, and judgment about the limits of AI tools.

  AmazonSoftware EngineerBehavioral & LeadershipOnsite
• Brainstorm a business problem approachMedium

  Brainstorm a business problem approach 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.

  AmazonSoftware EngineerAnalytics & ExperimentationTechnical Screen
• Build Accessible Data-Loading Popovers for Multiple ButtonsMedium

  This problem tests the ability to build a robust, accessible UI component that manages asynchronous data fetching, state synchronization, and DOM-level focus management.

  AmazonFrontend EngineerSoftware Engineering FundamentalsOnsite
• Build DID panel and compute effects in SQLMedium

  This question evaluates proficiency in panel data construction and causal inference workflows, specifically difference-in-differences estimation, SQL aggregation for user-week metrics, and propensity-score matching implemented in Python.

  AmazonData ScientistData Manipulation (SQL/Python)HR Screen
• Build DiD dataset with SQLMedium

  This question evaluates proficiency in SQL-based data manipulation and panel construction for staggered-adoption difference-in-differences, testing skills in handling adoption dates, event-time calculations, boundary conditions, and aggregation in the Data Manipulation (SQL/Python) domain.

  AmazonData ScientistData Manipulation (SQL/Python)Technical Screen
• Build a BFS Web CrawlerMedium

  This question evaluates understanding of breadth-first traversal, URL normalization, domain scoping, duplicate detection, and retry/error handling, measuring algorithmic design and robustness in networked code.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Build a Searchable Sentence IndexHard

  This problem tests your ability to design an in-memory inverted index for text retrieval, requiring efficient tokenization, case-insensitive mapping, and dynamic updates to a collection of sentences.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Build a Solution That Benefits Teams Beyond Your OwnMedium

  This question assesses a candidate's ability to think beyond immediate team requirements, identifying systemic inefficiencies and designing scalable solutions that provide cross-functional value.

  AmazonSoftware EngineerBehavioral & LeadershipOnsite
• Build a package-allocation model for couriersHard

  This question evaluates a candidate's ability to design an end-to-end ML-driven package-to-courier allocation system, testing competencies in predictive modeling (per-stop service-time forecasting), constrained combinatorial optimization for routing and fairness, feature engineering, simulation, and production concerns such as cold-start handling and distribution shift. It is asked to assess how candidates balance competing objectives like on-time delivery versus fairness under real-world constraints (shift hours, vehicle capacity, delivery windows, time-varying travel forecasts), and is categorized under Machine Learning with a focus on practical application-level system design rather than purely conceptual theory.

  AmazonData ScientistMachine LearningOnsite
• Build a responsive grid of fixed boxesMedium

  This problem tests your proficiency in creating responsive UI layouts using CSS Flexbox or Grid and your ability to optimize rendering performance for large datasets using virtualization or efficient list rendering.

  AmazonSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Build an LRU Cache with a Hash Map and Linked ListHard

  This problem tests your ability to design a cache with O(1) time complexity for both get and put operations by combining a hash map with a doubly linked list.

  AmazonSoftware EngineerCoding & AlgorithmsHR Screen
• Build an end-to-end ML pipelineHard

  Build an end-to-end ML pipeline 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.

  AmazonApplied ScientistML System DesignOnsite
• Build the Largest Available SequenceMedium

  This problem tests your ability to use a greedy approach combined with a frequency map to construct the lexicographically largest sequence under specific constraints.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Caesar Cipher with Translation-Table OptimizationMedium

  This question tests string manipulation, modular arithmetic, and the ability to optimize performance by trading space for time using a precomputed lookup table.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Calculate 7-Day Rolling Average for Energy ConsumptionMedium

  This question evaluates programming fluency in numerical data processing and algorithmic implementation for computing moving averages and handling edge cases in time-series sequences, and it applies to Data Scientist roles while falling under the Coding & Algorithms category.

  AmazonData ScientistCoding & AlgorithmsOnsite
• Calculate A/B sample size, CI, decision rulesMedium

  This question evaluates skills in experimental design and statistical inference, including sample size calculation, hypothesis testing, confidence interval interpretation, multiple comparison control, variance reduction techniques, and operational considerations for A/B testing.

  AmazonData ScientistStatistics & MathOnsite
• Calculate Circular Route Query DistanceMedium

  This question evaluates a candidate's ability to reason about circular arrays, distance computations, and query-efficient algorithms, assessing concepts such as modular indexing and cumulative distances.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Calculate Defect Rate and Identify Top Lanes for CarriersMedium

  This question evaluates competency in SQL-based data manipulation for a data scientist role, covering joins, aggregations, date-based filtering, metric computation, and use of window functions to derive week-over-week changes.

  AmazonData ScientistData Manipulation (SQL/Python)Technical Screen
• Calculate Monthly Revenue from Orders in 2023Medium

  This question evaluates proficiency in SQL-based data manipulation, including aggregation, date extraction, and combining transactional tables to produce business metrics, and falls under the Data Manipulation (SQL/Python) domain.

  AmazonData ScientistData Manipulation (SQL/Python)Technical Screen
• Calculate Rolling 7-Day Sum of Answers by DeviceMedium

  This question evaluates proficiency in time-series aggregation and group-wise metric computation on structured data, specifically calculating rolling seven-day sums of answers per device, and assesses familiarity with data manipulation using SQL or Python.

  AmazonBusiness Intelligence EngineerData Manipulation (SQL/Python)Onsite
• Calculate Weekly, Monthly Hours Watched by Premium UsersMedium

  This question evaluates a candidate's ability to perform time-based aggregation and data manipulation in SQL and Python, including grouping, filtering by subscription status, and converting minute-level metrics into hours.

  AmazonData ScientistData Manipulation (SQL/Python)Technical Screen
• Calculated Risks and Tight Deadlines: Moving Fast With Good JudgmentMedium

  An Amazon leadership-principles behavioral question in two parts: a calculated risk you took when speed was critical, and an important project you delivered under a tight deadline. It tests bias for action, risk judgment, scope negotiation and delivering results at a senior level.

  AmazonSoftware EngineerBehavioral & LeadershipOnsite
• Check a Palindrome While Ignoring Case and PunctuationEasy

  Tests string manipulation and two-pointer traversal techniques to verify if a string is a palindrome while ignoring non-alphanumeric characters and case.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Check if adding edge creates cycle in digraphMedium

  This question evaluates understanding of graph algorithms, reachability, and algorithmic complexity by determining whether adding a directed edge would introduce a cycle in an otherwise acyclic directed graph.

  AmazonApplied ScientistCoding & AlgorithmsTechnical Screen
• Check path in N-ary treeMedium

  This question evaluates understanding of tree traversal and sequence matching in N-ary trees, including handling non-unique node values and maintaining traversal state across branches.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite