Amazon Coding & Algorithms Interview Questions
Practice 695 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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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...
Merge two sorted arrays in-place
This question evaluates array-manipulation and in-place algorithm skills, including understanding of sorted-data merging, index/pointer management, an...
Reflect on self, goals, learning, competitions
Prepare structured behavioral answers for these interview questions: 1. Give three words that accurately describe you as a professional, and illustrat...
Design pickup point planning for ride-hailing
Design an algorithm and high-level system for recommending a pickup point in a ride-hailing app. A passenger requests a ride from an approximate city ...
Design a risk management ticketing system
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Design ride-hailing pricing with fairness and pooling
System Design: Ride-Hailing Pricing Engine Context Design a pricing engine for a ride-hailing platform that maximizes revenue while ensuring fairness ...
Design a basic task management system
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Justify choosing JavaScript for interviews
If given a choice of language, why would you choose JavaScript for front-end interview coding? Compare trade-offs versus TypeScript or Python regardin...
Clarify internship availability and conversion
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Demonstrate ownership and deliver results
Behavioral Question: Ownership and Delivering Results Under Constraints Context: You are interviewing for a software engineering role. Use concise, sp...
Compute unique visitors per department from clicks
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Explain Collaborative Filtering Approaches
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Design in-memory threshold switcher
Design an In-Memory Memory-Pressure Switcher Context You are designing an in-memory component ("Switcher") that gates expensive work (e.g., request ad...
Compute reachability and minimal-time same-type scheduling
1) Given four integers a, b, c, d (1 <= a, b, c, d <= 1000), you may perform the following operations any number of times and in any order: (a, b) -> ...
Describe a tough trade-off decision
Behavioral: Tough Trade-off Under Time Pressure (Software Engineer, Technical Screen) You will be asked to describe a specific instance where you made...
Solve Two OA Algorithm Problems
The post describes two separate coding questions from an online assessment: 1. Greedy deletion by minimum value Given an integer array nums, repeate...
Measure platform success and drive adoption
This question evaluates a candidate's competency in platform leadership, operational metrics, organizational scaling, and driving cross-team adoption ...
Review an existing architecture for risks
This question evaluates an engineer's ability to perform an architecture review, identifying imminent scalability, reliability, operability, and secur...
Design a search relevance prediction approach
This question evaluates competency in machine learning for search relevance, including relevance modeling, feature engineering across lexical, semanti...
Compute array products excluding self and top-k
This question evaluates skills in array manipulation, in-place algorithm design, numerical stability and edge-case reasoning (such as handling multipl...