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Amazon interview questions

653 practice questions in the style of Amazon's interviews, covering Behavioral & Leadership, System Design, Coding & Algorithms, Product / Decision Making, Data Manipulation (SQL/Python), Analytics & Experimentation, Statistics & Math, Software Engineering Fundamentals, Machine Learning, ML System Design, Product Design & Strategy.

Questions653

50 easy471 medium132 hard

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Amazon interview questions by the numbers

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Katkat has 653 Amazon interview questions. The largest topics are Coding & Algorithms (35%), Behavioral & Leadership (26%) and System Design (9%). By difficulty: 8% easy, 72% medium and 20% hard. The most common round is Technical Screen (49%). Frequent concepts include System Design, Behavioral, Leadership and Algorithms.

Difficulty

  • Easy8% · 50
  • Medium72% · 471
  • Hard20% · 132

Interview rounds

  • Technical Screen49% · 318
  • Onsite37% · 243
  • Online Assessment11% · 71
  • Other2% · 13
  • HR Screen1% · 8

Roles

  • Software Engineer61% · 400
  • Data Scientist22% · 144
  • Applied Scientist8% · 54
  • Product Manager3% · 22
  • Business Intelligence Engineer2% · 13

Frequent concepts

  • System Design5% · 34
  • Behavioral5% · 32
  • Leadership4% · 29
  • Algorithms4% · 23
  • Distributed Systems4% · 23
  • Optimization3% · 21

Showing 361–390 of 653 results

  • This question evaluates proficiency in time-series and event-sequence data manipulation, temporal aggregation, and data quality validation using SQL and pandas, focusing on identifying status transitions and date-based uniqueness.

    AmazonData ScientistData Manipulation (SQL/Python)Technical Screen
  • Merge two severity-labeled patch queues into one install order that keeps each queue's internal order, and return the minimum number of severity inversions over every valid merge. Tests DP over two sequences and efficient counting with letters as priorities.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This problem tests your ability to use the sliding window technique to find the longest contiguous subarray that satisfies a specific count-based constraint.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This question evaluates proficiency in time-windowed aggregation, group-level ranking and window-function usage on relational datasets, emphasizing handling of recent date ranges and top-N selection.

    AmazonBusiness Intelligence EngineerData Manipulation (SQL/Python)Onsite
  • This question evaluates SQL data manipulation competency, focusing on group-wise aggregation, ordering, and selecting the top-N salary values within each department.

    AmazonData ScientistData Manipulation (SQL/Python)Onsite
  • This problem tests string manipulation, hash set lookups, and the ability to efficiently identify compound words formed by the concatenation of exactly two distinct words from a provided collection.

    AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests the ability to optimize sliding window calculations for extremely large arrays by leveraging compressed data structures (run-length encoding) rather than materializing the full array.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This problem tests your ability to detect cycles in a directed graph and perform a topological sort to resolve dependencies.

    AmazonSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates understanding of directed graphs, dependency resolution and cycle detection, and the ability to reason about valid ordering constraints within a graph representation.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This question evaluates graph traversal and reachability reasoning on a 2D elevation grid, testing algorithmic problem-solving, complexity analysis, and handling of monotonic flow constraints.

    AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates proficiency in string manipulation, efficient lookup structures (e.g., hashing/trie) and dynamic programming or recursion for word segmentation, testing algorithmic efficiency and data-structure selection within the Coding & Algorithms domain.

    AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Find first unique character 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 & AlgorithmsTechnical Screen
  • This question evaluates a candidate's proficiency in array and substring algorithm design, including concepts such as dynamic programming, hashing, and efficient search techniques.

    AmazonSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates algorithmic problem-solving with arrays and complexity-aware design, testing skills in efficient subarray identification, boundary reasoning, and performance analysis within the Coding & Algorithms domain.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This question evaluates algorithmic design and array-processing skills, specifically reasoning about subarray endpoint vs interior relationships, range comparisons, and designing solutions with subquadratic time and space complexity.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This problem tests your ability to efficiently manage character frequency tracking while processing string prefixes, using hash maps or frequency arrays to validate partitioning conditions.

    AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates algorithm design and combinatorial optimization skills, focusing on scheduling and load-balancing under per-center capacity constraints and frequency-based counting.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This question evaluates string-processing skills, combinatorial counting of substrings, simulation of time-based state changes, and algorithmic complexity analysis.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This problem tests your ability to determine the minimum total operations required to make an array non-decreasing by incrementing contiguous subarrays, requiring insights into difference arrays or monotonic properties.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This question evaluates data manipulation skills—specifically SQL joins and anti-joins, deduplication, date/time handling, aggregation, and pairwise overlap computation—within the Data Manipulation (SQL/Python) domain at a practical implementation level requiring query-writing to produce per-day overlap counts.

    AmazonData ScientistData Manipulation (SQL/Python)Technical Screen
  • This question evaluates skills in time-series data processing, timestamp parsing and time-zone normalization, scalable stream or batch handling for logs that exceed memory, algorithmic complexity analysis, and test-case design for edge conditions such as midnight boundaries and duplicate events.

    AmazonSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates understanding of pathfinding in grid-based environments, graph traversal concepts, and algorithmic complexity when navigating obstacles and boundary constraints in an unweighted 2D search space.

    AmazonApplied ScientistCoding & AlgorithmsOnsite
  • This question evaluates array manipulation and algorithmic problem-solving skills, focusing on understanding how local subarray sorting affects global order, edge-case reasoning (already-sorted arrays, duplicates, strictly decreasing sequences), and complexity analysis within the Coding & Algorithms domain.

    AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates a candidate's ability to model string transformations as a graph, apply graph traversal and shortest-path reasoning, and manage efficient string-based search and data-structure choices within the Coding & Algorithms domain.

    AmazonApplied ScientistCoding & AlgorithmsTechnical Screen
  • This problem tests your ability to efficiently search through chronologically ordered records and handle binary search logic with custom comparison rules.

    AmazonSoftware EngineerCoding & AlgorithmsOnsite
  • Tests array traversal and hash table lookups to find a two-sum pair that minimizes the second index, running in linear time and space.

    AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Find any valid set of the k most frequent distinct integers, handling boundary ties with frequency counting, bounded heaps, or frequency buckets.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment
  • Given two nondecreasing integer arrays and a one-based integer k, return the k-th smallest value in their combined multiset. Work through the function contract, boundary cases, correctness argument, and time and space complexity expected in a production-quality solution.

    AmazonSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Deserialize a level-order serialized binary search tree and find its kth smallest element using an efficient in-order traversal.

    AmazonSoftware EngineerCoding & AlgorithmsOnsite
  • Find the largest k for which at least k instance ratings are at least k, handling threshold equality and the zero-answer case.

    AmazonSoftware EngineerCoding & AlgorithmsOnline Assessment

Amazon interview experiences

All 396 →
  • L6 Phone Screen With an Impatient Interviewer, LCA Follow-up StuckAmazon · Software Engineer · Senior+ · Technical Screen · Oct 2026

    The interviewer was impossible to find anywhere online, I couldn't find a thing about him and I'm speechless. BQ: 1. How do you evaluate customer experience? 2. A major unexpected obstacle. For the first one, I think the point of the question was the evaluation part, and my story was just directly collecting feedback, which he wasn't happy with 😭 For the second one, he felt the obstacle wasn't ma…

  • Three Rounds of Graphs, System Design and Leadership PrinciplesAmazon · Software Engineer · Technical Screen · Oct 2026

    I interviewed with the Agentic AI security product team under AWS. The location is Austin. Every round was 1 hour. Round 1 was a DAG topological sort. It was pretty good, pretty basic. Round 2 was another directed graph problem. This team really likes graph problems. It was something like working out what you need to make a cake, and it is very similar to a LeetCode problem. Round 3 was a traditi…

  • Four Rounds with Detailed Behavioral QuestionsAmazon · Software Engineer · Onsite · Sep 2026

    The author describes four Amazon virtual-onsite interviews for an SDE2 role, each combining behavioral discussion with technical work. The technical topics were dependency ordering and selective reruns, a high-volume inventory-update service, an extensible document-search library, and merging timestamp-ordered event streams without loading everything into memory. Behavioral questions examined inv…

  • One DSA Round, Two Mediums, RejectedAmazon · Frontend Engineer · Technical Screen · Sep 2026
    Rejected

    I applied through a LinkedIn post for SDE I (Frontend). HR contacted me over a call and we discussed the further rounds. Round 1 (PS-DS Round) (1hr) Two DSA medium questions were asked, and I was able to solve both of them within the time limit (~40 mins). The interviewer was helpful and provided hints. Q1. Lowest Common Ancestor of a Binary Search Tree Q2. Ones and Zeroes Explain brute force, th…

  • Three BQ questions: Q1: Can you tell me about a time when you pushed back against a decision that negatively impacted your team? What was the issue? How did it turn out? Q2: Can you tell me about a time when a system was failing intermittently, and the very obvious metrics were all looking good? How did you find the root cause, and how long did it take? Q3: Can you tell me about a problem you had…

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