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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 751–780 of 9403 results
- AmazonMediumSoftware EngineerImplement tree left/right views via BFS and DFS
This question evaluates understanding of binary tree traversal techniques and algorithmic reasoning for producing per-depth left and right views, assessing competencies in data structures, traversal ordering, and correctness across edge cases.
Coding & AlgorithmsOnsite - AmazonMediumSoftware EngineerImplement two array-cost minimization algorithms
This question evaluates algorithm design, data structure selection, and complexity analysis by requiring implementations for minimizing total merge cost and for removing a contiguous block to minimize the sum of adjacent absolute differences.
Coding & AlgorithmsOnsite - AmazonMediumSoftware EngineerImprove an Inefficient Team Process
This question assesses the candidate's ability to identify systemic bottlenecks, influence stakeholders through data, and implement sustainable process improvements while maintaining system stability.
Behavioral & LeadershipTechnical ScreenBehavioralLeadershipProcess Improvement - AmazonMediumSoftware EngineerInfluence a Colleague Who Prefers a Different Approach
Describe influencing a colleague through shared goals, fair comparison, evidence, willingness to revise, and a concrete collaborative decision.
Behavioral & LeadershipOnsite - AmazonMediumProduct ManagerInnovation, Root Cause, and Deadline Management Stories
Practice behavioral PM answers for innovation, root-cause analysis, and urgent deadline management. The guide uses STARL examples with metrics, trade-offs, stakeholder handling, prevention mechanisms, and probe-ready details for interview follow-up questions.
Behavioral & LeadershipOnsite - AmazonMediumFrontend EngineerIntervene When Your Team Is Heading in the Wrong Direction
This question assesses a candidate's ability to identify technical or strategic misalignments within a project and their skill in providing constructive, data-driven feedback while maintaining team cohesion.
Behavioral & LeadershipOnsiteLeadershipCommunicationConflict Resolution - AmazonMediumSoftware EngineerInventory Allocation by Bid Priority
Implement a tiered inventory allocation system that distributes limited stock among buyer bids based on price tiers and round-robin priority rules.
Coding & AlgorithmsOnline AssessmentSimulationSortingGreedy - AmazonMediumFrontend EngineerInvestigate a Difficult Problem Until You Found the Root Cause
This question assesses the candidate's ability to systematically troubleshoot complex technical issues, demonstrate technical ownership, and implement long-term solutions rather than quick fixes.
Behavioral & LeadershipOnsiteBehavioralOwnershipDebugging - AmazonMediumSoftware EngineerJukebox That Plays the Most-Requested Song First
Design a request queue where each play takes the song with the most pending requests, with ties going to the most recent request. Tests keeping frequency and recency together so both operations run in O(1).
Coding & AlgorithmsOnsitedesignhash-mapstack - AmazonMediumSoftware EngineerJustify choosing JavaScript for interviews
This question evaluates a candidate's ability to articulate programming language trade-offs, understand language-specific runtime behaviors (types, hoisting, closures), and justify tool choice for front-end coding tasks within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - AmazonMediumSoftware EngineerKth Largest Perfect Binary Subtree
This problem tests tree traversal techniques, the ability to validate binary tree properties recursively, and the use of selection algorithms to find order statistics.
Coding & AlgorithmsOnsiteTreesRecursionSorting - AmazonMediumApplied ScientistLLM Fundamentals: Tokenization Design and KL-Regularized SFT
This problem tests your understanding of subword tokenization strategies and the theoretical motivation behind KL-divergence constraints during supervised fine-tuning.
Machine LearningOnsiteLLMTokenizationSFT - AmazonHardProduct ManagerLaunching Alexa in a New-Language Market
Practice launching Alexa in a new language market with product vision, personas, MVP use cases, ASR and NLU quality metrics, data scarcity solutions, localization, privacy regulations, partnerships, GTM, risk mitigation, and launch gates.
Product / Decision MakingOnsite - AmazonMediumSoftware EngineerLeadership Principle Stories: Ownership, Dive Deep, Tight Deadline, Disagree and Commit
Behavioral interview practice built around leadership principles: tell stories about taking ownership beyond your role, diving deep under repeated follow-ups, handling a tight deadline, and disagreeing with a teammate then committing. It tests first-person STAR storytelling, measurable results and mapping each story to the principle asked.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerLeaf Domain Cumulative Scores
This problem tests your ability to model hierarchical data using tree traversal and string manipulation to aggregate cumulative metrics across nested domains.
Coding & AlgorithmsOnsiteHash MapString ManipulationTree Traversal - AmazonMediumSoftware EngineerLearn What You Need to Solve an Unfamiliar Problem
Explain learning through an unfamiliar engineering challenge, with a defined knowledge gap, targeted resources, practical validation, expert feedback, and application.
Behavioral & LeadershipOnsite - AmazonMediumFrontend EngineerLearn and Apply a Front-End Technology Across Devices
This question assesses a candidate's ability to self-teach new technologies and integrate them into a production environment while accounting for cross-platform performance and accessibility constraints.
Behavioral & LeadershipOnsiteBehavioralFrontendSelf-Learning - AmazonMediumData ScientistList Top Customers and Monthly Order Counts in SQL
This question evaluates a candidate's ability to perform SQL aggregation, grouping, top‑N selection, and date-based summarization to compute customer spend and chronological monthly order counts.
Data Manipulation (SQL/Python)Technical Screen - AmazonEasyApplied ScientistList hyperparameter tuning methods
This question evaluates understanding of hyperparameter tuning methods, including the competencies to compare different search strategies, analyze trade-offs in efficiency and parallelization, and design experiments to optimize model performance.
Machine LearningTechnical Screen - AmazonHardSoftware EngineerLowest Common Ancestor in a Binary Search Tree
Tests finding the lowest common ancestor of two values in a Binary Search Tree represented as a level-order serialized list, accounting for self-ancestorship and missing-node edge cases.
Coding & AlgorithmsTechnical ScreenBinary Search TreeTreeBreadth-First Search - AmazonEasySoftware EngineerMake Progress When Requirements Are Ambiguous
This question assesses the candidate's ability to navigate project uncertainty by balancing proactive momentum with risk management and stakeholder alignment.
Behavioral & LeadershipTechnical ScreenLeadershipAmbiguityCommunication - AmazonMediumSoftware EngineerMake a Difficult Decision Under Competing Constraints
Tests your ability to navigate high-stakes technical or organizational trade-offs where constraints conflict, evaluate options objectively, communicate decisions with transparency, and take ownership of the outcomes.
Behavioral & LeadershipOnsiteBehavioralAmazon Leadership PrinciplesDecision Making - AmazonMediumSoftware EngineerMake an Important Decision Before Every Option Can Be Explored
Explain a time-limited decision by identifying essential evidence, accepted uncertainty, reversible steps, stakeholder communication, and outcome checks.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerMaking a Decision with Missing Data
Tests a candidate's ability to demonstrate Amazon's 'Bias for Action' and 'Are Right, A Lot' leadership principles by executing a calculated, high-impact decision under uncertainty with clear rollback triggers.
Behavioral & LeadershipOnsiteBehavioralBias for ActionDecision Making - AmazonMediumSoftware EngineerManipulate time-series with Pandas groupby
This question evaluates proficiency in time-series data manipulation, including timezone-aware datetime parsing and DST handling, groupby and rolling-window aggregations, resampling to fill calendar gaps, and user-level retention and DAU calculations using idiomatic, vectorized Pandas or SQL operations.
Data Manipulation (SQL/Python)Technical Screen - AmazonMediumSoftware EngineerMax total of k consecutive bags over disjoint valued segments, modulo 1e9+7
Disjoint segments [l, r, v] give every bag from position l to r the value v, and all other bags in an endless row are empty. Find the largest total over k consecutive bags, returned modulo 1,000,000,007, when k and positions reach 10^9, testing window sums over sparse ranges that cut through segments.
Coding & AlgorithmsOnline Assessment - AmazonHardSoftware EngineerMaximize Money in K Consecutive Bags
This problem tests your ability to efficiently manage interval operations and sliding window logic on a sparse coordinate system.
Coding & AlgorithmsTechnical ScreenSliding WindowSortingTwo Pointers - AmazonMediumSoftware EngineerMaximize Value Under a Budget
This problem tests your ability to solve a variation of the 0/1 Knapsack problem where items must be selected to maximize total value without exceeding a specific budget constraint.
Coding & AlgorithmsTechnical ScreenDynamic ProgrammingOptimizationAlgorithms - AmazonMediumSoftware EngineerMaximize capacity with primary-backup pairing
This problem tests your ability to optimize resource pairing using greedy strategies or sorting to maximize total capacity under specific pair-wise constraints.
Coding & AlgorithmsOnline AssessmentGreedySortingOptimization - AmazonMediumSoftware EngineerMaximize credits with limited skips
This question evaluates algorithm design and optimization skills in resource allocation under constraints, focusing on decision-making to maximize credits when turn-taking and limited skips affect processing.
Coding & AlgorithmsOnline Assessment
Amazon