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
Data Scientist

Find Top-3 Salaries Per Department Using SQL

employees +----+---------+--------+---------+ | id | name | salary | dept_id | +----+---------+--------+---------+ | 1 | Alice | 120000 | 10 ...

Data Manipulation (SQL/Python)
0
0
2 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Determine Length of Longest Unique Substring

Scenario Online assessment: coding portion that follows the SQL questions. Question Implement a function that, given a string s, returns the length of...

Coding & Algorithms
4
0
30 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Identify Number Pairs Adding to Target in Array

Scenario Coding round to identify all number pairs that add up to a target in an array containing duplicates. Question Given an integer array (may con...

Coding & Algorithms
26
0
84 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Solve Algorithmic Challenges in Online Coding Assessments

Scenario Online assessment requiring implementation of common algorithmic problems. Question Given an array of integers and a target, return indices o...

Coding & Algorithms
10
0
90 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Create SQL Queries for Sales and Customer Analysis

SALES +----------+----------+------------+------------+----------+---------+ | sale_id | store_id | product_id | sale_date | quantity | revenue | +-...

Data Manipulation (SQL/Python)
0
0
6 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Generate Synthetic Clickstream Data with Python Function

Scenario The analytics team needs to generate synthetic click-stream records to test a new reporting pipeline before real traffic arrives. Question Wr...

Coding & Algorithms
201
1
636 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Solve Search Insert Position Using Binary Search

Scenario Live coding round for an Amazon Applied Scientist position; candidate must solve LeetCode 35 (Search Insert Position) without helper librarie...

Coding & Algorithms
69
0
207 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

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...

Coding & Algorithms
22
0
76 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Analyze User Engagement with SQL Queries

events +----------+---------+---------------------+ | event_id | user_id | event_time | +----------+---------+---------------------+ | 1 ...

Data Manipulation (SQL/Python)
104
0
275 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Compute 3-Day Rolling Revenue Averages with Pandas

sales +------------+-----------+-------+---------+ | date | product_id| units | revenue | +------------+-----------+-------+---------+ | 2023-01...

Data Manipulation (SQL/Python)
100
0
460 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Analyze Monthly Prime vs Non-Prime Sales and Price Buckets

sales +-----------+------------+----------+-------+ | order_id | order_date | is_prime | price | +-----------+------------+----------+-------+ | 1001...

Data Manipulation (SQL/Python)
82
0
256 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Compare RNNs and Transformers for Long-Sequence Text Classification

Compare RNNs and Transformers for Long-Sequence Text Classification Scenario You are designing a long-sequence text classification system under tight ...

Machine Learning
48
0
102 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Implement BFS to Find Shortest Path in Graph

Scenario Social network needs to compute the shortest friend-distance between two users in an undirected graph containing millions of nodes. Question ...

Coding & Algorithms
13
0
27 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Create Country-Level Spend Report Using Pandas

users +---------+---------+ | user_id | country | +---------+---------+ | 1 | US | | 2 | CA | | 3 | US | +---------+-...

Data Manipulation (SQL/Python)
82
0
195 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Implement and Analyze 'Merge k Sorted Lists' Algorithm

Scenario Algorithm coding challenge during the final interview round. Question Implement LeetCode 23 ‘Merge k Sorted Lists’ and explain your complexit...

Coding & Algorithms
18
0
47 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Data Scientist

Design a Scalable, Fault-Tolerant Distributed Order System

Scenario Round covering distributed-system design and algorithm implementation. Question Design a highly available, low-latency distributed order-proc...

Coding & Algorithms
23
0
65 people solved
Aug 4, 2025
Amazon logo
Amazon
Medium
Software Engineer

Find substring from dictionary concatenation

Given a string s and a dictionary of words dict, determine whether s contains a substring that is exactly a concatenation of one or more words from di...

Coding & Algorithms
2
0
35 people solved
Jul 31, 2025
Amazon logo
Amazon
Medium
Software Engineer

Decide reachability with buses and limited walking

You are given: ( 1) a start point (xs, ys), ( 2) an end point (xe, ye), ( 3) an integer K, and ( 4) an undirected graph of bus stations where each nod...

Coding & Algorithms
3
0
38 people solved
Jul 31, 2025
Amazon logo
Amazon
Medium
Software Engineer

Compute fruit spoilage time in a grid

Given an m×n grid representing kitchen cells: 0 for empty, 1 for fresh fruit, and 2 for spoiled fruit. Each minute, any fresh fruit adjacent (up, down...

Coding & Algorithms
1
0
34 people solved
Jul 31, 2025
Amazon logo
Amazon
Medium
Software Engineer

Minimize cost & recommend movies

Question Given arrays size[] and cost[] where size[i] is the size of the i-th product and cost[i] is the cost to increase size[i] by one unit, compute...

Coding & Algorithms
18
0
63 people solved
Jul 29, 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.

Explore more Amazon interview questions

Jump straight to Amazon questions for a specific role or category.

By role
By category
In-depth guides
Across all companies

Featured Amazon interview prep guides

Concept walkthroughs, worked examples, and the real questions from candidate reports.

Editorial prep
Data Scientist
Amazon interview
Read the guide
Editorial prep
Software Engineer
Amazon interview
Read the guide