Amazon Interview Questions
Practice 631 real Amazon interview questions for 2026. Covers all top categories — Coding & Algorithms, Behavioral & Leadership, Machine Learning, Data Manipulation (SQL/Python), and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Product Manager, and Business Intelligence Engineer roles. Real Amazon interview questions from actual interviews with detailed solutions; use this collection for interview preparation that emphasizes shipping at scale, measurable impact, and the company’s Leadership Principles. Expect coding-heavy assessments for Software Engineer candidates: frequent tree and dynamic-programming problems, two-array optimization patterns, nested object/path lookups, and system-design prompts that mirror product flows (online Minesweeper, pizza-ordering, credit-card and shipping/cost systems), plus leadership and collaboration behavioral prompts. Data Scientist rounds concentrate on experimentation and metrics (A/B design, hand p-values, D7 retention SQL), RAG/recommender evaluation, and product-impact analyses. ML Engineer questions focus on production model design, LLM/agent concepts, reliability (cold start, training stability, online vs offline gaps), and large-scale detection pipelines. PM interviews stress customer-obsessed stories, ambiguity, Alexa product launches, and domain-specific data pipelines. Prepare with timed coding practice, end-to-end experiment writeups, STAR stories framed to Leadership Principles, and mock system-design sessions.
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Compute join counts and window ranks
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Prove and apply statistical ML fundamentals
Technical ML/Statistics Exercises (with precise math and small computations) Assume a standard supervised learning setting with n samples, p features,...
Solve two set and graph problems
Implement solutions for the following two data-structure / algorithm problems. --- Problem 1: Friend-purchase recommendations You are given three enti...
Solve two string problems
You are asked to solve the following two coding problems. 1. Count unique Morse code translations You are given an array of lowercase English w...
Design and evaluate a RAG system
You are interviewing for an L5 Data Scientist role focused on LLM applications. Design a retrieval-augmented generation (RAG) system for an internal q...
How to evaluate adding video ads in a game
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Design an LLM quality validation system
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Maximize Value Under a Budget
You are given an array of items. Each item has a price and a value, and you are given a total budget. Each item can be purchased at most once. Impleme...
Design a log filtering and analytics service
Question Design a log-processing service that ingests application logs at scale and supports the following capabilities: 1. Filter logs by attributes ...
Implement a Worker Hours Register
Implement an in-memory WorkHoursRegister system for contract workers. The system tracks office entry and exit events, completed work time, promotions,...
Design an e-commerce recommendation system
Design an Amazon-Scale E‑Commerce Product Recommendation System Context You are designing a large-scale recommendation system that powers multiple use...
Implement robust word counts and min/max
You receive a 50GB UTF-8 text corpus on disk. Implement a Python solution that:\n- Streams the file without loading it fully into memory.\n- Counts ca...
Design idempotent daily loads with deduping
You need to load the last 7 days of orders into a large fact table from a noisy staging feed. Assume today is 2025-09-01. Requirements: idempotent rer...
Debug distributed-system performance problems
You are asked: “If a distributed system has a performance problem (latency/throughput regression), how would you approach it?” Describe a practical, s...
Design a distributed job scheduler service
Design a distributed job scheduler service Design a horizontally scalable, multi-tenant job scheduler service that supports both one-off / ad-hoc jobs...
Design a computer-use agent end-to-end
Scenario You are designing a computer-use agent that can complete user tasks on a standard desktop environment by observing the screen and issuing act...
Answer behavioral questions about delivery and influence
Behavioral questions Prepare structured answers (e.g., STAR) to the following: 1. Complex problem, simple solution: Give an example of a complex probl...
Profile and visualize an unfamiliar dataset
Task: Quickly Understand an Undocumented Events+Purchases CSV and Produce Executive-Ready Visuals Context You are handed a single CSV that mixes user ...
Implement a high-throughput web crawler safely
Design and code (pseudocode acceptable) a multi-threaded web crawler that favors breadth-first discovery while continuously running analysis tasks on ...
Derive and compare core ML and RL methods
ML Fundamentals Technical Screen — Multi‑part Question Context: You are given a set of core machine learning topics to address rigorously. For each pa...