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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Design a memory usage switcher with thresholds
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Explain LLM architecture, tuning, evaluation
LLM Architecture, Positional Embeddings, Fine-Tuning (PEFT), Regularization, and Evaluation Context You are interviewing for a Machine Learning Engine...
Design a fixed-capacity circular queue
Design a fixed-capacity circular queue that supports enqueue(x), dequeue(), front(), rear(), isEmpty(), and isFull() operations in O( 1) time. Impleme...
Sort characters by frequency
Given an ASCII string s, reorder its characters in decreasing order of frequency. If multiple characters share the same frequency, break ties by ascen...
Design a risk management ticketing system
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Implement a robust shell CLI
Implement a POSIX-compliant shell script invoked as ./script.sh <username> <path_of_file> that outputs a single line formatted as "<timestamp> <licens...
Design a configuration subscription service
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Handle deadlines and misses
Question This is a two-part behavioral question. Answer both parts: 1. Tight deadline. Describe a time you faced a tight deadline. How did you estimat...
Calculate Rolling 7-Day Sum of Answers by Device
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Determine Probability of Both Children Being Boys
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Find recommended friend pairs by shared songs
You work on a music app and want to recommend “friend” connections based on listening similarity. Assume the following tables (all timestamps are in U...
Explain modern modeling and alignment methods
In a machine learning technical interview, explain the following topics in depth. For each one, describe the problem it solves, the core idea, key tra...
Late but Critical Colleague
Scenario: Managing a chronically late data owner in a bi-weekly meeting Context You run a recurring bi-weekly cross-functional planning/metrics review...
Amazon Fit, Motivation & Leadership Principles
Amazon Product Manager Onsite: Behavioral & Leadership Questions Questions 1. Why do you want to work at Amazon? 2. Why are you interested in this Pro...
Innovation, Root Cause, and Deadline Management Stories
Behavioral and Leadership — Product Manager Onsite Context You are preparing for an onsite Product Manager behavioral/leadership interview. Expect to ...
Describe a recent innovation you delivered
Behavioral question: “Tell me about a recent innovation you delivered.” Include: - What problem/opportunity you identified - What was novel about your...
Explain hash map internals and edge cases
You are asked a “knowledge check” about hash maps (hash tables). Discuss how a typical in-memory hash map works and how you would reason about these e...
Demonstrate Amazon LP with deep follow-ups
Behavioral STAR Stories for Amazon Data Scientist Onsite Context You are preparing for an onsite Behavioral and Leadership interview for a Data Scient...
Prioritize a new warehouse proposal with data
Build vs. Lease vs. Defer: New Fulfillment Center Decision Context You are evaluating whether to open a new fulfillment center (FC) to improve deliver...
Design idempotent daily loads with deduping
You need to load the last 7 days of orders into a large fact table from a noisy staging feed. Assume today is 2025-09-01. Requirements: idempotent rer...