Amazon Interview Questions
Practice 612 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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"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
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"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
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"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Derive Key Business Metrics Using SQL or Python
Orders +----------+-------------+------------+---------+------------------+ | order_id | customer_id | order_date | amount | product_category | +----...
Calculate Monthly Revenue from Orders in 2023
orders | id | order_date | customer | |----|------------|----------| | 1 | 2023-01-03 | 101 | | 2 | 2023-02-14 | 102 | | 3 | 2023-02-20 | 101 | o...
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DEPARTMENT_REVENUE +------------+---------+-------+ | Department | Revenue | Month | +------------+---------+-------+ | A | 8000 | Jan |...
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EVENT_LOG +------------+------+ | event_date | cnt | +------------+------+ | 2025-05-01 | 17 | | 2025-05-02 | 12 | | 2025-05-08 | 30 | +-------...
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PRIME +-------------+------------+----------+ | Customer_ID | Start_Date | End_Date | +-------------+------------+----------+ | 1 | 2025-01-...
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