Amazon Interview Questions

Amazon Interview Questions

Practice 683 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.

683 Questions 1 Company08.01.2026
Showing 20 results
Role
Amazon logo
Amazon
Medium
Software Engineer

Describe achievements, ambiguity, conflict, efficiency, challenges

Describe achievements, ambiguity, conflict, efficiency, challenges Behavioral Technical Screen — Multi-part Prompt Context: You are interviewing for a...

Behavioral & Leadership
2
0
30 people solved
Jul 16, 2025
Amazon logo
Amazon
Medium
Software Engineer

Design 2D DP on a DAG

Design 2D DP on a DAG Given a directed acyclic graph G(V, E) with N nodes, M edges, a designated source s, and an integer L, design a 2D dynamic progr...

Coding & Algorithms
6
0
54 people solved
Jul 15, 2025
Amazon logo
Amazon
Medium
Software Engineer

Brainstorm a business problem approach

Brainstorm a business problem approach Analytics & Experimentation Brainstorm (Scenario Provided) Context You are evaluating a feature proposal for a ...

Analytics & Experimentation
4
0
42 people solved
Jul 15, 2025
Amazon logo
Amazon
Medium
Data Scientist

Design Incremental Load Process for Large Relational Table

orders_daily_load +------------+-----------+-------------+--------+ | load_date | order_id | customer_id | amount | +------------+-----------+------...

Data Manipulation (SQL/Python)
86
0
213 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Business Intelligence Engineer

Identify Most Popular First-Watched Movie in Viewing History

MOVIE_VIEWS +------------+--------------------+------------+ | customer_id| title | date | +------------+--------------------+-----...

Data Manipulation (SQL/Python)
5
0
17 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Business Intelligence Engineer

Analyze Top Book Sales and Unique Customer Purchases

BOOK_TRANSACTION +---------------+------------+-------------+------+----------+ | MARKETPLACE_ID| TXN_DAY | CUSTOMER_ID | ASIN | QUANTITY | +------...

Data Manipulation (SQL/Python)
10
0
17 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Data Scientist

Consolidate and Rank Global Salaries in USD

employees_us +---------+----------+--------+---------+ | emp_id | name | salary | country | +---------+----------+--------+---------+ | 1 |...

Data Manipulation (SQL/Python)
49
0
8 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Data Scientist

Identify Top Spenders and Segment Customers Using Python

orders +----------+---------+------------+----------+--------------+-------------------+ | order_id | cust_id | order_date | product | order_amount |...

Data Manipulation (SQL/Python)
76
0
10 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Data Scientist

Calculate Weekly, Monthly Watch Hours for Paid Users

video_view_logs +---------+----------+----------------+------------+------------+ | user_id | video_id | watched_seconds| watch_date | device_type| +-...

Data Manipulation (SQL/Python)
87
0
211 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Data Scientist

Explore Subscription Patterns and Status Transitions with SQL/Pandas

subscriptions +-----------------+---------+-------------+ | subscription_id | status | status_date | +-----------------+---------+-------------+ | 10...

Data Manipulation (SQL/Python)
67
0
7 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Business Intelligence Engineer

Find Top Three Books by City in Recent Months

BOOK_SALES +------+--------+------------+------------+ | city | asin | sale_date | units_sold | +------+--------+------------+------------+ | NYC ...

Data Manipulation (SQL/Python)
4
0
20 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Business Intelligence Engineer

Calculate Rolling 7-Day Sum of Answers by Device

ANSWERS +------------+--------+---------+ | date | device | answers | +------------+--------+---------+ | 2019-01-01 | echo | 10 | | 2019...

Data Manipulation (SQL/Python)
11
0
41 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Business Intelligence Engineer

Identify Customers Purchasing Every Product in Catalog

X_PURCHASES +-------------+---------+ | customer_id | pro_key | +-------------+---------+ | 1 | A | | 1 | B | | 2 ...

Data Manipulation (SQL/Python)
4
0
14 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Data Scientist

Implement Function to Determine Mode and Prime Numbers

Scenario Implementing utility algorithms within a data-processing library. Question Write a function that returns the mode of an integer list; if all ...

Coding & Algorithms
19
0
56 people solved
Jul 12, 2025
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Amazon
Medium
Business Intelligence Engineer

Count Customers Buying Both 'Kindle' and 'Alexa'

ITEMS +---------+-----------+ | ITEM_ID | ITEM_NAME | +---------+-----------+ | 101 | Kindle | | 202 | Alexa | | 303 | Fire TV | ...

Data Manipulation (SQL/Python)
12
0
24 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Business Intelligence Engineer

Calculate Weekly Event Sums from Daily Counts

EVENT_LOG +------------+------+ | event_date | cnt | +------------+------+ | 2025-05-01 | 17 | | 2025-05-02 | 12 | | 2025-05-08 | 30 | +-------...

Data Manipulation (SQL/Python)
2
0
6 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Data Scientist

Calculate 7-Day Rolling Average for Energy Consumption

Scenario Hiring manager wants a quick coding exercise to verify programming fluency. Question Write a Python function that takes a list of daily energ...

Coding & Algorithms
39
0
87 people solved
Jul 12, 2025
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Amazon
Medium
Data Scientist

Calculate Regional Revenue and Identify Top Customers

Customers | customer_id | name | region | |-------------|-------|--------| | 1 | Alice | East | | 2 | Bob | West | | 3 ...

Data Manipulation (SQL/Python)
9
1
4 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Business Intelligence Engineer

Identify Frequent Actor-Director Collaborations in Film Database

FILMOGRAPHY +-------+---------+------------+ | actor | dir | date | +-------+---------+------------+ | Tom | Nolan | 2020-01-01 | | Tom ...

Data Manipulation (SQL/Python)
1
0
7 people solved
Jul 12, 2025
Amazon logo
Amazon
Medium
Business Intelligence Engineer

Analyze Seller Compliance and Customer Purchase Patterns

SELLER_STATUS +-----------+------------+-----------+ | seller_id | date | status | +-----------+------------+-----------+ | 1 |2019-0...

Data Manipulation (SQL/Python)
5
0
18 people solved
Jul 12, 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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