Amazon Coding & Algorithms Interview Questions
Practice 695 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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Describe Overcoming Obstacles and Taking Calculated Risks
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Compute First Order Proportions by Day and Category
ORDERS +----------+------------+----------+-------------+ | order_id | date | category | customer_id | +----------+------------+----------+-----...
Describe a complex problem you solved
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Explain random forests, bagging, and evaluation
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Design and analyze pricing-page A/B test
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Explain complex tech to non-technical stakeholder
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Measure PMF for Alexa Shopping
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Prove new allocation outperforms manual baseline
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Build a package-allocation model for couriers
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Design SQL/Pandas aggregations on retail schema
Using the schema and sample data below, answer both parts. Assume today is 2025-09-01. Use standard SQL (e.g., PostgreSQL) and idiomatic pandas withou...
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...
Demonstrate leadership with quantifiable STAR stories
Create Four Concise STAR(L) Stories for a Data Scientist Technical Screen Context You are preparing for a Data Scientist technical screen. Craft four ...
Communicating Top-Down Change
Communicating Top-Down Change Across an Operations Organization A VP has mandated an operations-wide initiative to improve safety, increase efficiency...
Recovering a Lost Deliverable
Incident Scenario: Recovering a Lost Deliverable You are the PM leading a three-person team on the build-out of a new train station in a regulated env...
Amazon Fit, Motivation & Leadership Principles
Amazon Product Manager Fit, Motivation, and Leadership Principles Prepare for an Amazon Product Manager behavioral onsite focused on motivation, role ...
Behavioral: Ambiguity & Conflict Resolution
Behavioral Prompt: Ambiguity and Conflict Resolution You are interviewing for a Product Manager phone screen at a large, customer-obsessed, data-drive...
Delivery Driver Performance Evaluation Framework
Product Analytics Prompt: Fair Delivery Driver Performance Evaluation Amazon currently tracks only two measures per driver: number of packages deliver...
Innovation, Root Cause, and Deadline Management Stories
Behavioral and Leadership Prompt: Innovation, Root Cause, and Deadline Management You are preparing for a Product Manager behavioral or leadership int...