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Amazon Interview Questions

Amazon Interview Questions

Practice 612 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.

Questions
612
Company
1
Updated
06.18.2026
612 Questions 1 Company06.18.2026
PLTCHK testimonial
PLTCHK

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

_The_TaNk_ testimonial
_The_TaNk_

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

Chris testimonial
ChrisSenior SWE, LinkedIn

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

sleepy33 testimonial
sleepy33

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

Jake testimonial
JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord testimonial
nuggetlord

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

Carlos testimonial
CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes testimonial
boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

Andy testimonial
AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99 testimonial
couchpotato99

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

Shruti testimonial
ShrutiData Engineer, Salesforce

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

midnightramen testimonial
midnightramen

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

Bianca testimonial
BiancaFrontend Eng, Figma

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

tambrahm007 testimonial
tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa testimonial
toa

"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."

PLTCHK testimonial
PLTCHK

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

_The_TaNk_ testimonial
_The_TaNk_

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

Chris testimonial
ChrisSenior SWE, LinkedIn

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

sleepy33 testimonial
sleepy33

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

Jake testimonial
JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord testimonial
nuggetlord

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

Carlos testimonial
CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes testimonial
boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

Andy testimonial
AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99 testimonial
couchpotato99

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

Shruti testimonial
ShrutiData Engineer, Salesforce

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

midnightramen testimonial
midnightramen

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

Bianca testimonial
BiancaFrontend Eng, Figma

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

tambrahm007 testimonial
tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa testimonial
toa

"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."

Showing 20 results
Role
Amazon logo
Amazon
Medium
Software Engineer

Debug Watch List Movie Operations

You are given a full-stack Movie DB application. Users can log in, create, update, and delete watch lists, and add or remove movies from a watch list....

Software Engineering Fundamentals
177
1
1863 people solved
Jun 12, 2026
Amazon logo
Amazon
Medium
Software Engineer

Validate AI-Generated Code Safely

Generative AI coding tools are now part of many teams' day-to-day workflow, and interviewers increasingly want to know not just whether you use them, ...

Software Engineering Fundamentals
82
1
683 people solved
May 11, 2026
Amazon logo
Amazon
Hard
Machine Learning Engineer

Explain Core ML Interview Concepts

You are in a phone screen for an applied scientist / machine-learning engineer role and are asked to verbally explain a set of machine-learning fundam...

Machine Learning
182
0
1501 people solved
Apr 27, 2026
Amazon logo
Amazon
Medium
Software Engineer

Design a Log Collection System

Design a scalable log collection system for a company that runs many services across thousands of machines. The system must collect application and in...

System Design
16
0
209 people solved
May 22, 2026
Amazon logo
Amazon
Medium
Software Engineer

Rate Engineering Work Simulation Responses

You are completing an engineering Work Simulation assessment for an Amazon Software Engineer (SDE) role. The assessment presents realistic on-the-job ...

Behavioral & Leadership
10
0
77 people solved
Jun 2, 2026
Amazon logo
Amazon
Hard
Software Engineer

Prepare Leadership Principle Stories

Prepare Your Amazon Leadership Principle (Behavioral) Stories You are interviewing for a Software Engineer role at Amazon. The onsite is structured ar...

Behavioral & Leadership
9
0
176 people solved
May 11, 2026
Amazon logo
Amazon
Medium
Machine Learning Engineer

Design an advertiser metrics tracking platform

Design the core object-oriented model and service interfaces for an advertiser metrics tracking platform. The platform is used by advertisers to track...

Software Engineering Fundamentals
7
0
52 people solved
May 30, 2026
Amazon logo
Amazon
Medium
Data Scientist

Reserving an Elevator for Food Deliveries

Reserving an Elevator for Food Deliveries You are a data scientist working with a building-operations company that manages large residential apartment...

Analytics & Experimentation
2
0
32 people solved
Jun 8, 2026
Amazon logo
Amazon
Hard
Software Engineer

Design a High-Availability Load Balancer

Design a load balancer that routes HTTP and HTTPS traffic to a fleet of backend service instances spread across multiple availability zones (AZs). The...

System Design
13
0
129 people solved
May 9, 2026
Amazon logo
Amazon
Medium
Software Engineer

Choose Work-Style Assessment Responses

You are taking a forced-choice work-style assessment as part of the application for an entry-level Software Engineer (SDE I) role. This is the online ...

Behavioral & Leadership
7
0
64 people solved
May 28, 2026
Amazon logo
Amazon
Medium
Software Engineer

Design Human Avoidance for Warehouse Robots

Design a software module that lets an autonomous warehouse robot avoid humans while it navigates. The robot drives indoors among shelves and people, p...

System Design
20
0
285 people solved
May 11, 2026
Amazon logo
Amazon
Medium
Software Engineer

Implement Review Content Moderation

You are given an existing backend service for online reviews (Node.js/Express-style, with a persistence layer where a User model exposes await user.sa...

Software Engineering Fundamentals
5
0
58 people solved
May 24, 2026
Amazon logo
Amazon
Medium
Machine Learning Engineer

Explain Transformer and MoE Fundamentals

You are interviewing for a Machine Learning Engineer role. The interviewer is probing your foundational understanding of modern deep-learning and larg...

Machine Learning
16
0
128 people solved
May 14, 2026
Amazon logo
Amazon
Medium
Software Engineer

Implement Cache and Count Components

You are asked to solve two independent coding problems in this session, each followed by a short discussion. This mirrors a 60-minute Amazon SDE codin...

Coding & Algorithms
32
0
388 people solved
Mar 7, 2026
Amazon logo
Amazon
Medium
Software Engineer

Resolve Conflict and Challenge Project Decisions

Walk the interviewer through two behavioral stories using a structured format such as STAR (Situation, Task, Action, Result). The bar is set by Amazon...

Behavioral & Leadership
15
0
129 people solved
May 19, 2026
Amazon logo
Amazon
Medium
Data Scientist

Predicting the Next Elevator Call Location

Predicting the Next Elevator Call Location You are a data scientist for a building-operations company. To cut resident wait times, the operations team...

Machine Learning
1
0
14 people solved
Jun 8, 2026
Amazon logo
Amazon
Easy
Software Engineer

Describe Delivering Under a Tight Deadline

Tell me about a time when you had to deliver a project under a tight deadline. Walk me through the trade-offs you made, how you protected quality desp...

Behavioral & Leadership
15
1
232 people solved
May 2, 2026
Amazon logo
Amazon
Medium
Data Scientist

Monthly Cohort Retention

Monthly Cohort Retention A residential building-services company tracks every time a tenant interacts with its mobile app (for example, calling an ele...

Data Manipulation (SQL/Python)
2
0
10 people solved
Jun 8, 2026
Amazon logo
Amazon
Hard
Software Engineer

Implement Datacenter Router Commands

Implement process_commands(commands) -> list[str] for a datacenter router simulator. The input is a list of command strings, and the function must ret...

Coding & Algorithms
2
0
12 people solved
Jun 5, 2026
Amazon logo
Amazon
Medium
Software Engineer

Describe Deadline, Mistake, Problem-Solving, and AI Experiences

You are interviewing for a Software Engineer (Intern) role at Amazon, in an on-site loop of two back-to-back 60-minute rounds. Each round mixes a beha...

Behavioral & Leadership
22
0
352 people solved
Apr 20, 2026
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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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