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 an A/B test p-value by hand
In an A/B test on a game feature, you measure conversion rate (binary outcome). - Control: n₁ = 1000 users, x₁ = 120 conversions - Treatment: n₂ = 980...
Describe Your Most Challenging Project and Its Outcome
Describe Your Most Challenging Project and Its Outcome Tell me about the most challenging project, situation, or thing you have worked on as a data sc...
Transform Customer Feedback into Valuable Product Enhancements
Transform Customer Feedback into Valuable Product Enhancements Behavioral Case: Turning Customer Feedback into Product Improvements Scenario You are i...
Optimize precision–recall under class imbalance
You have extreme class imbalance (positive rate ~1%). You score 12 examples as follows (id, true_label, score): A,1,0.92; B,0,0.90; C,0,0.88; D,0,0.70...
Compute p-values, CIs, and adjust multiples
Hypothesis testing and intervals in practice. Part A (z vs t): You sample n = 15 observations from a population with unknown variance and observe samp...
Verify subscriptions and analyze orders with SQL/Python
You are given two tables. Write SQL and Python (pandas) to answer the sub-questions precisely, handling edge cases, ties, and missing data. Schema - s...
Root-cause an incident and drive consensus
Root-Cause Plan: Sudden Drop in Voice Checkout Conversion (Alexa Shopping) You are informed that the "voice checkout conversion" KPI for Alexa Shoppin...
Describe missed deadline and scope expansion
Behavioral Question: Accountability and Ownership for a Data Scientist You will be asked for two concrete, distinct examples: - (a) One time you misse...
Discuss key behavioral experiences
Behavioral Interview (Onsite) — Software Engineer You are preparing for an onsite behavioral and leadership interview. Answer the following prompts us...
Find the Most Common Visit Pattern
You are given a list of web visit logs. Each log record contains userId, timestamp, and page. For each user, sort that user's visits by timestamp. A l...
Describe failure, conflict, metrics, and AI lessons
The interview included several behavioral prompts with deep follow-up questions. Prepare clear STAR-style stories for the following: - Tell me about a...
Explain core ML concepts and metrics
You are interviewing for a Data Scientist role. Answer the following ML fundamentals questions clearly and concisely. Concepts 1. Explain the bias–var...
Design LFU cache with distributed extension
Problem You are asked to design and implement a data structure that behaves like an in-memory cache with a Least Frequently Used (LFU) eviction policy...
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...
Analyze attention complexity and improvements
In the context of Transformer-style models, analyze the computational complexity of self-attention. Assume a sequence length of \(n\) and hidden dimen...
Design an Online Minesweeper Platform
Design an online Minesweeper platform for web and mobile users. Requirements: - A signed-in user can start a new game with standard or custom board si...
Solve Shipping and Bundle-Cost Problems
Implement both of the following algorithmic problems. Problem 1: Minimum daily shipping capacity You are given an array weights of positive integers. ...
Find when failures started in log stream
You are given an array of log entries sorted by timestamp ascending. Each log entry contains: - timestamp (monotonic increasing) - status ∈ {OK, FAIL}...
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...
Maximize total bandwidth of data channel pairs
You are optimizing how information flows through a network of processing nodes. There are n processing nodes. The bandwidth capability of the i-th nod...