Amazon Coding & Algorithms Interview Questions
Practice 600 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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Compare float types and design ablation
Floating-point types and ablation study design You are training deep neural networks on modern accelerators that support multiple floating-point forma...
Contrast CNNs and fully connected networks
Compare convolutional neural networks (CNNs) with fully connected (dense) networks. Explain: - The structural differences between convolutional layers...
Design feedback and feature rollout platform
System Design: Feedback + Feature Rollout Platform Context Build a multi-tenant platform that lets product teams: - Collect end-user feedback from app...
Determine string segmentability with dictionary
Given a string s and a dictionary of words, determine whether s can be segmented into a sequence of dictionary words. Provide a dynamic-programming so...
Ensure Data Quality and Deliver Impact Amid Challenges
Behavioral Question — Data Ownership, Dive Deep, and Measurable Impact Context You are interviewing for a Data Scientist role in a technical/phone scr...
Analyze User Engagement with SQL Queries
events +----------+---------+---------------------+ | event_id | user_id | event_time | +----------+---------+---------------------+ | 1 ...
Determine Discount's Effect on Conversion Rate with A/B Testing
A/B Test Design: 10% Discount Impact on Conversion Scenario An e-commerce retailer wants to evaluate whether offering a 10% sitewide discount increase...
Describe Managing an End-to-End Project for Scalability
Context You are preparing for an Amazon interview that emphasizes Leadership Principles (LPs) and past experiences. Although the example set came from...
Explain Central Limit Theorem and Its Limitations
Statistics Concepts and Disease-Test Evaluation Context You are assessing core statistical concepts used in evaluating diagnostic tests and in data sc...
Choose Models for Imbalanced Data and Time-Series Forecasting
Scenario You must choose and tune models for (a) forecasting marketplace demand with seasonality and trend, and (b) detecting fraud where the positive...
Design document-tag classes with concurrency safety
System Design: In‑Memory Document–Tag Manager (Single Node) Context You are designing an in-memory component that manages documents and tags. The comp...
Compute fruit spoilage time in a grid
Given an m×n grid representing kitchen cells: 0 for empty, 1 for fresh fruit, and 2 for spoiled fruit. Each minute, any fresh fruit adjacent (up, down...
Describe deadline pressure, challenges, and decision changes
Behavioral and Leadership Prompts — Software Engineer (Technical Screen) Answer the following. Use clear structure, quantify outcomes, and explain you...
Design pickup point planning for ride-hailing
You are given a ride-hailing scenario interview question: > A passenger requests a ride from somewhere in a city. The driver is currently at a known G...
Answer senior-level behavioral questions
Behavioral & Leadership (Machine Learning Engineer — Onsite) Context: Prepare three concise STAR stories (Situation, Task, Actions, Results) with meas...
Demonstrate Bias for Action
Behavioral Prompt: Acting With Incomplete Data (Bias for Action) Describe a time you moved a project forward despite having incomplete data. Provide a...
Analyze Seller Compliance and Customer Purchase Patterns
SELLER_STATUS +-----------+------------+-----------+ | seller_id | date | status | +-----------+------------+-----------+ | 1 |2019-0...
Describe Overcoming Obstacles and Taking Calculated Risks
Behavioral: Calculated Risk and Anticipated Obstacle (STAR) Context You are interviewing for a Data Scientist role in an Amazon leadership phone scree...
Optimize Feature Selection and Handling in Machine Learning Models
Scenario You are building a customer propensity model to predict the probability that a user will take a desired action (e.g., purchase, subscribe). Y...
Identify Top Spenders and Segment Customers Using Python
orders +----------+---------+------------+----------+--------------+-------------------+ | order_id | cust_id | order_date | product | order_amount |...