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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Return a valid task order
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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 ...
Design a pizza ordering system
Design the core object-oriented model for a pizza ordering system used by a small restaurant. The system should allow customers to: - browse a menu of...
Compute join counts and window ranks
Given the following small schema and data, answer all parts precisely and justify each count/output. Tables and rows: Customers(cust_id INT PRIMARY KE...
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...
Answer Amazon-style leadership deep dives
Behavioral / Leadership Prompt (Principal level) Prepare to answer deep-dive leadership questions with heavy follow-ups. Scenarios to cover - A failed...
Explain parallelism and collectives in training
Parallelism strategies and communication in large-scale training You are designing a distributed training setup for very large neural networks that ca...
Design an LLM quality validation system
You are asked to design an end-to-end LLM quality validation system for a team that trains and serves large language models. The goal is to automatica...
Find all cells reachable by downhill flow
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