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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Retrieve First Active and Last Inactive Dates per User
Given a table activity that tracks user activities, write a SQL query to retrieve the first active date and last inactive date for each user. Table Sc...
Identify Number Pairs Adding to Target in Array
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Compute 3-Day Rolling Revenue Averages with Pandas
sales +------------+-----------+-------+---------+ | date | product_id| units | revenue | +------------+-----------+-------+---------+ | 2023-01...
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Explore Subscription Patterns and Status Transitions with SQL/Pandas
subscriptions +-----------------+---------+-------------+ | subscription_id | status | status_date | +-----------------+---------+-------------+ | 10...
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employees_us +---------+----------+--------+---------+ | emp_id | name | salary | country | +---------+----------+--------+---------+ | 1 |...
Build Accurate Energy Consumption Prediction Model for Utilities
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In an Amazon AWS Product Manager virtual onsite, candidates may face an interview loop that is almost entirely behavioral and mapped to Amazon Leaders...
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Transform retail data with pandas groupby/merge/concat
Using pandas only (groupby/agg/merge/concat; no for-loops), write code to answer the sub-questions below on the following small dataframes. Assume tim...
Manipulate time-series with Pandas groupby
Given a DataFrame events(user_id, event_type, ts_utc, revenue): 1) Parse ts_utc as timezone-aware, convert to America/Los_Angeles, and handle DST tran...
List Top Customers and Monthly Order Counts in SQL
Orders | order_id | customer_id | order_date | amount | |----------|-------------|------------|--------| | 1 | 101 | 2023-01-05 | 120.5...
Optimize XGBoost for Predicting Marketing Outcomes
Gradient-Boosted Trees for Marketing Outcome Prediction Context You’re building a model to predict a marketing outcome (e.g., likelihood of conversion...
Determine Maximum Path Length in Directed Acyclic Graph
Scenario A backend service represents task dependencies as a directed graph; you need to understand how deep the longest dependency chain can get. Que...
Understand SQL: DELETE vs TRUNCATE, VIEW vs TABLE, CROSS JOIN
employees +----+--------+---------+ | id | name | dept_id | +----+--------+---------+ | 1 | Alice | 10 | | 2 | Bob | 20 | | 3 | Car...
Identify Key Metrics for Monitoring Shipment Defects
shipment +-------------+----------+------------+---------+---------+ | shipment_id | order_id | ship_date | carrier | status | +-------------+------...
Ensure Correct Numeric Ordering in Visit ID Comparison
visits +----------+---------+-----------+---------------------+ | visit_id | user_id | page | visit_ts | +----------+---------+-------...