Amazon Interview Questions

Amazon Coding & Algorithms Interview Questions

Practice 689 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.

689 Questions 1 Company08.11.2026
Showing 20 results
Role
Amazon logo
Amazon
Medium
Software EngineerNew Grad Locked

Minimum Drone Delivery Time on a Ring of Hubs

This question tests a candidate's grasp of circular graph traversal and greedy distance minimization on ring-structured topologies. It evaluates algor...

Coding & Algorithms
0
0
7 people solved
Jun 15, 2026
Amazon logo
Amazon
Medium
Machine Learning EngineerSenior+ Locked

Highest Average-Salary Team in an Org Chart

This question evaluates a candidate's ability to traverse tree-structured data and perform subtree aggregation, applying recursive or bottom-up DFS te...

Coding & Algorithms
0
0
5 people solved
Jun 14, 2026
Amazon logo
Amazon
Medium
Software Engineer Locked

Course Prerequisite Feasibility

This question tests graph theory fundamentals, specifically cycle detection in directed graphs as modeled by dependency constraints. It evaluates prac...

Coding & Algorithms
0
0
5 people solved
Jun 13, 2026
Amazon logo
Amazon
Medium
Data Scientist

Handle scope creep and teammate conflict

Behavioral & Leadership Two-Part Prompt (Data Scientist — Technical Screen) You will answer two behavioral prompts relevant to a data scientist role. ...

Behavioral & Leadership
10
0
91 people solved
Oct 13, 2025
Amazon logo
Amazon
Medium
Product Manager

Amazon Behavioral Deep-Dive

Amazon PM Behavioral Deep-Dive Prompt Set Prepare concise STAR stories for the Amazon Product Manager behavioral round. The interviewer may probe any ...

Behavioral & Leadership
13
0
75 people solved
Jul 4, 2025
Amazon logo
Amazon
Hard
Machine Learning Engineer Locked

Design systems for global request detection and labeling

This question evaluates the ability to design scalable, low-latency ML systems for global streaming event detection and rapid labeling under extreme c...

ML System Design
7
0
56 people solved
Feb 9, 2026
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Amazon
Medium
Software EngineerSenior+ Locked

Design globally consistent metadata service

This question evaluates expertise in distributed systems and system design, focusing on linearizable consistency, multi-region replication and partiti...

System Design
6
0
85 people solved
Jan 6, 2026
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Amazon
Medium
Machine Learning Engineer Locked

Explain why CTR rises but CVR unchanged

This question evaluates a candidate's competency in experimental design and statistical analysis, specifically interpreting divergent engagement and o...

Analytics & Experimentation
3
0
55 people solved
Jan 6, 2026
Amazon logo
Amazon
Medium
Software Engineer

Build a BFS Web Crawler

Implement a web crawler for a single website. You are given: - A starting URL startUrl - A function fetch(url) that returns the HTML content of a page...

Coding & Algorithms
18
0
143 people solved
Mar 12, 2026
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Amazon
Medium
Software Engineer

Solve two set and graph problems

Implement solutions for the following two data-structure / algorithm problems. --- Problem 1: Friend-purchase recommendations You are given three enti...

Coding & Algorithms
18
0
166 people solved
Oct 31, 2025
Amazon logo
Amazon
Medium
Product Manager

Amazon Behavioral & Leadership Scenarios

Amazon Behavioral and Leadership Scenarios for Product Managers Prepare concise, structured answers for an Amazon Product Manager onsite covering beha...

Behavioral & Leadership
14
0
95 people solved
Jul 4, 2025
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Amazon
Medium
Machine Learning Engineer Locked

Approach an ambiguous business problem

This question evaluates a candidate's ability to handle ambiguity in ML system design by assessing skills in stakeholder communication, problem scopin...

ML System Design
3
0
39 people solved
Dec 20, 2025
Amazon logo
Amazon
Hard
Software Engineer Locked

Implement Datacenter Router Commands

This question evaluates proficiency in stateful command processing, input validation, geospatial computation (Haversine distance), deterministic sorti...

Coding & Algorithms
2
0
16 people solved
Jun 5, 2026
Amazon logo
Amazon
Medium
Data Scientist

Demonstrate invent-and-simplify and customer communication

Behavioral: Two STAR Stories (Data Scientist, Technical Screen) Provide two concise STAR stories that demonstrate your ability to invent/simplify and ...

Behavioral & Leadership
3
0
52 people solved
Oct 13, 2025
Amazon logo
Amazon
Easy
Software Engineer

Compute minimal operations and optimal server pairing

You are given two independent coding problems. Problem 1: Minimum range-increments to make an array nondecreasing Given an integer array power of leng...

Coding & Algorithms
16
0
116 people solved
Dec 17, 2025
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Amazon
Medium
Software Engineer

Design a Multi-Branch Library Lending System

Design a library management system shared by multiple library branches. It must support catalog search, branch-level availability, reservations, check...

System Design
0
0
1 people solved
Jun 4, 2026
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Amazon
Medium
Data Scientist Locked

Compute a Rolling Seven-Day Revenue Sum with Missing Dates

Solve a PostgreSQL rolling-revenue problem that needs a complete daily series per seller, including no-order dates. It assesses UTC date handling, gap...

Data Manipulation (SQL/Python)
7
0
63 people solved
Jun 4, 2026
Amazon logo
Amazon
Hard
Software Engineer Locked

Find the Maximum Number of Concurrent Processes

Practice a Amazon coding interview problem focused on find the maximum number of concurrent processes. The prompt emphasizes edge cases, clean impleme...

Coding & Algorithms
0
0
8 people solved
Jun 4, 2026
Amazon logo
Amazon
Hard
Software Engineer Locked

Find the Closest Version by Date

Practice a Amazon coding interview problem focused on find the closest version by date. The prompt emphasizes edge cases, clean implementation, and ve...

Coding & Algorithms
0
0
6 people solved
Jun 4, 2026
Amazon logo
Amazon
Medium
Machine Learning EngineerSenior+

Explain core ML concepts and diagnostics

You are in an ML breadth interview for a Senior Applied Scientist role. Answer the following conceptual questions clearly and practically (definitions...

Machine Learning
15
0
109 people solved
Dec 15, 2025

Frequently Asked Questions

How difficult are Amazon interview questions for software, data, and product roles?
Amazon interviews are competitive and deliberately broad: expect medium-to-hard algorithmic coding for software roles, deep design thinking for system and architecture questions, rigorous experiment and metrics work for data roles, and leadership-driven behavioral prompts for product and PM positions. Difficulty scales with level; early-career loops focus on correctness and problem patterns, senior loops demand scalable design, tradeoff justification, and measurable impact. The Bar Raiser raises the bar on long-term ownership and cultural fit. Overall, the process weeds for both technical depth and the ability to explain tradeoffs, so prepare to demonstrate repeatable problem solving under time pressure.
What is the Amazon interview process and where do the top categories and positions appear in the loop?
Amazon typically uses a staged process: resume screen, role-specific assessments or phone screens in some tracks, then the onsite loop of 4–6 interviews including a Bar Raiser. Coding and algorithms rounds dominate for Software Engineer interviews, while system design appears in one or more senior technical rounds. Data Scientist interviews blend SQL/Python casework, A/B test design, and inferential questions. Machine Learning Engineer loops probe model deployment, offline to online debugging, and NLP/agent design. Product and BI roles focus on metrics, product tradeoffs, and Leadership Principles throughout the loop, with role-specific deep dives tied to the job description.
How long should I prepare for Amazon interviews and what should a timeline look like?
Aim for a focused 6–12 week plan for experienced roles and 4–8 weeks for early-career candidates. Weeks 1–3: shore up fundamentals — arrays, trees, graphs, DP, and core SQL windowing. Weeks 4–6: simulate timed coding rounds, practice system design high-level tradeoffs, and build STAR stories mapped to Leadership Principles. Weeks 7–10: run mock loops with behavioral pressure, refine experiment and ML case studies, and rehearse tradeoff conversations. Leave final 1–2 weeks for targeted practice on role-specific themes such as shipping costs, RAG evaluation, or Alexa product scenarios.
Which key subtopics should I master to perform well across Amazon's top roles?
Master algorithmic patterns including trees, dynamic programming, two-pointer and graph traversals, and complexity justification for coding rounds. For system design, focus on APIs, data models, scaling, caching, reliability, and monitoring. Data roles require SQL window functions, cohort and retention analysis, A/B test design and power, and RAG/evaluation methods for ML-backed features. Machine learning engineers must know model stability, cold-start strategies, online-offline mismatch debugging, and agent alignment basics. Product candidates should be fluent in metric design, customer-observed data pipelines, and prioritization with quantifiable impact.
What standout tips and common pitfalls should I know before interviewing at Amazon?
Start every behavioral or technical story with context and measurable outcomes; interviewers care about specific impact and tradeoffs. Use STAR for leadership prompts but emphasize metrics and follow-on changes. In coding, verbalize assumptions, test edge cases, and discuss complexity and alternative approaches. In design rounds, ask clarifying questions, scope deliberately, and justify scaling choices. Common pitfalls include weak quantification of impact, ignoring the Leadership Principles, failing to probe requirements, and delivering designs without operational considerations. Practice mock loops and incorporate Bar Raiser-style feedback to close gaps before the real loop.

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