Amazon interview questions

Showing 511–540 of 653 results

• Merge Two Job Queues With the Fewest Urgency InversionsHard

  Interleave two digit sequences, keeping each one's order, so that the merged sequence has as few inversions as possible. Tests charging each inversion to its earlier element, which turns the problem into an O(mn) grid DP.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Merge overlapping and adjacent rangesMedium

  This question evaluates a candidate's understanding of interval merging and range manipulation, including handling overlapping and adjacent ranges, edge cases like single-point gaps and extreme values, and the ability to analyze time and space complexity.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Merge two sorted arrays in-placeHard

  This problem tests your ability to manipulate arrays in-place while managing constraints to avoid unnecessary data movement or auxiliary space usage.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Message Rate LimiterMedium

  Design an in-memory message rate limiter that allows or denies messages based on whether a given time window has elapsed since their last accepted occurrence.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Minimize Branch Merge ConflictsHard

  This question evaluates understanding of combinatorial optimization, set operations, and order-dependent state management, requiring reasoning about how commit file modifications accumulate across branch merges.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Minimize Circular Redistribution CostMedium

  This problem tests your ability to handle circular array indexing and perform efficient redistributions using modulo arithmetic and prefix sum concepts.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Minimize Global Replacements to Make Values ContiguousMedium

  Determine the minimum number of global value replacements needed so that every remaining value in an array forms a single contiguous block.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Minimize Grid Inconvenience by Adding One Delivery CenterMedium

  Add at most one delivery center to minimize the maximum Chebyshev distance from ordinary grid cells to their nearest center.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Minimize Points Used Across Multiple Reward ProgramsMedium

  Minimize the number of indivisible reward points needed to meet or exceed a microdollar target across programs with different values and finite balances, returning failure when coverage is impossible.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Minimize Replacements So Equal Product Values Are ContiguousHard

  This problem tests your ability to optimize data transformations by identifying contiguous blocks of identical values, modeled as a shortest-path or dynamic programming problem on a compressed representation of the array.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Minimize operations to reduce price differenceHard

  This question evaluates algorithm design and array-manipulation skills, focusing on reasoning about constrained transfers of value, invariants, and the minimization of operation counts under a fixed per-operation bound.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Minimize time for two handlersHard

  This problem tests your ability to use dynamic programming or greedy strategies with state tracking to minimize the total completion time of tasks assigned to two distinct handlers.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Minimum Bills and Coins to Make ChangeMedium

  This problem tests your ability to determine the optimal combination of coins and bills to achieve a specific target amount, while managing limited inventory and precision issues.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Minimum Drone Delivery Time on a Ring of HubsMedium

  This problem tests your ability to calculate optimal traversal distances on a circular path, requiring the application of modular arithmetic and greedy logic to minimize movement between sequential points.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Minimum Moves for a Squirrel to Carry Every Nut to a Tree One at a TimeMedium

  A squirrel on an obstacle-free grid must carry every nut to a tree, holding at most one nut at a time and moving one cell per step. The task asks for the minimum total number of moves over all delivery orders, testing reasoning about grid distances and how the order of deliveries affects the total.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Minimum Path Length Through a Grid With One Allowed Cell ConversionMedium

  This problem tests your ability to adapt BFS to a state-space graph where an additional dimension represents the remaining capacity to modify the grid, requiring efficient state tracking to find the shortest path.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Minimum Priority Conflicts When Interleaving Two Lowercase StringsHard

  From an Amazon online assessment: merge two lowercase strings into one while keeping each string's internal order, where smaller letters have higher priority and every lower-priority letter placed before a higher-priority one counts as a conflict. Return the minimum possible number of conflicts over all valid merges.

  AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
• Mitigate Data Mistakes and Improve Team EfficiencyMedium

  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.

  AmazonData ScientistBehavioral & LeadershipTechnical Screen
• Model an Extensible Employee Cost CalculatorMedium

  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.

  AmazonSoftware EngineerSoftware Engineering FundamentalsOnsite
• Navigate Crises and Sustain Team Morale Under PressureMedium

  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.

  AmazonData ScientistBehavioral & LeadershipOnsite
• Navigate a Tight Deadline and an Ambiguous Engineering ProjectMedium

  This question assesses a candidate's ability to maintain engineering standards and project momentum when facing high-pressure timelines and limited requirements.

  AmazonFrontend EngineerBehavioral & LeadershipTechnical Screen
• Negotiate an Impossible Project TimelineMedium

  This question assesses your ability to manage stakeholder expectations, use data to drive project scoping, and maintain professional integrity when facing unrealistic deadlines.

  AmazonSoftware EngineerBehavioral & LeadershipOnsite
• Optimize Email Strategy for New Prime Video Series LaunchMedium

  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.

  AmazonData ScientistMachine LearningOnsite
• Optimize Predictive Analytics: Feature Engineering to Model EvaluationMedium

  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.

  AmazonData ScientistMachine LearningTechnical Screen
• Optimize XGBoost for Predicting Marketing OutcomesMedium

  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.

  AmazonData ScientistMachine LearningOnsite
• Optimize attention for long sequencesHard

  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.

  AmazonSoftware EngineerML System DesignTechnical Screen
• Optimize with a cache/hash mapMedium

  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.

  AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
• Order Dependent Tasks and Identify Work to RerunMedium

  Return any valid dependency order, detect cycles, and identify transitive reruns with a complete topological and reachability solution and order-independent validation.

  AmazonSoftware EngineerCoding & AlgorithmsOnsite
• Organize a Product Initiative Across StakeholdersMedium

  This question assesses a candidate's ability to drive complex, cross-functional projects by aligning stakeholders, managing interdependencies, and adapting to shifting priorities.

  AmazonSoftware EngineerBehavioral & LeadershipTechnical Screen
• Overcome an Obstacle That Threatens DeliveryMedium

  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.

  AmazonSoftware EngineerBehavioral & LeadershipTechnical Screen