Amazon Interview Questions

Amazon Coding & Algorithms Interview Questions

Practice 695 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.

695 Questions 1 Company08.11.2026
Showing 20 results
Role
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Amazon
Medium
Software Engineer

Adapt to interviewer coding preferences

Adjusting for Algorithmic vs Hand‑Written Front‑End Tasks in a Technical Screen Context In a technical screen for a Software Engineer role, different ...

Behavioral & Leadership
5
0
38 people solved
Sep 6, 2025
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Amazon
Medium
Software Engineer

Discuss open-source contributions and impact

Behavioral Prompt: Open-Source Contribution Walkthrough Context: Technical screen for a Software Engineer role. Provide a concise, structured walkthro...

Behavioral & Leadership
5
0
41 people solved
Sep 6, 2025
Amazon logo
Amazon
Medium
Software Engineer

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...

Coding & Algorithms
1
0
28 people solved
Sep 6, 2025
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Amazon
Medium
Software Engineer

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...

Coding & Algorithms
2
1
28 people solved
Sep 6, 2025
Amazon logo
Amazon
Medium
Software Engineer

Design faster delay-time computation

You are given an array of integers representing task priorities. Tasks execute from right to left. For each index i, define its delay time as j - i wh...

Coding & Algorithms
2
0
34 people solved
Sep 6, 2025
Amazon logo
Amazon
Medium
Software Engineer

Place items into earliest fitting bins

Place items into earliest fitting bins You are given k items with sizes items[0..k-1] and n bins with initial capacities caps[0..n-1]. Process items i...

Coding & Algorithms
2
1
30 people solved
Aug 10, 2025
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Amazon
Medium
Software Engineer

Find LCA in a BST

Find LCA in a BST Given the root of a binary search tree and two keys p and q, return the value of their lowest common ancestor (the deepest node whos...

Coding & Algorithms
2
0
36 people solved
Aug 10, 2025
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Amazon
Medium
Software EngineerIntern

Manipulate time-series with Pandas groupby

Given a DataFrame events(user_id, event_type, ts_utc, revenue): 1) Parse ts_utc as timezone-aware, convert to America/Los_Angeles, and handle DST tran...

Data Manipulation (SQL/Python)
0
0
6 people solved
Aug 10, 2025
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Amazon
Medium
Software Engineer

Design a hierarchical locking tree

Design a hierarchical locking tree Design a LockingHierarchy data structure over a rooted tree of N nodes labeled 0..N-1, initialized with an integer ...

Coding & Algorithms
5
0
42 people solved
Aug 10, 2025
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Amazon
Medium
Software Engineer

Find odd-frequency element with O(1) space

You're given an integer array where exactly one value appears an odd number of times and all other values appear an even number of times. Implement a ...

Coding & Algorithms
4
0
35 people solved
Aug 9, 2025
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Amazon
Medium
Software Engineer

Count expressions reaching a target sum

Count expressions reaching a target sum Given an array of non-negative integers nums and an integer target T, assign either a + or − sign to each numb...

Coding & Algorithms
1
0
37 people solved
Aug 8, 2025
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Amazon
Medium
Software Engineer

Compute optimal locker placement with obstacles

Compute optimal locker placement with obstacles Given house coordinates H = {(xi, yi)} and tree coordinates T = {(xj, yj)} on a 2D integer grid, choos...

Coding & Algorithms
4
0
31 people solved
Aug 7, 2025
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Amazon
Medium
Software Engineer

Design a streaming median structure

Design a streaming median structure Design a data structure for a number stream that supports: add(num: int) in O(log n) time and median() -> float in...

Coding & Algorithms
2
0
33 people solved
Aug 7, 2025
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Amazon
Medium
Software Engineer

Implement two array-cost minimization algorithms

Implement two array-cost minimization algorithms that appeared back-to-back in an AWS SDE online assessment. Each can be solved independently. Part 1 ...

Coding & Algorithms
4
0
36 people solved
Aug 7, 2025
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Amazon
Medium
Software Engineer

Determine reachability and optimize task scheduling

Question LeetCode 780. Reaching Points: Given four integers a, b, c, d (1 <= a, b, c, d <= 1000). Starting from (a, b) you may repeatedly apply either...

Coding & Algorithms
2
0
38 people solved
Aug 4, 2025
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Amazon
Medium
Software Engineer

Compute delay times in priority array

Question Given an array of integers representing task priorities processed from right to left, return an array where each element is the distance (ind...

Coding & Algorithms
4
0
33 people solved
Aug 4, 2025
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Amazon
Medium
Software Engineer

Find concatenated words in list

Question LeetCode 472. Concatenated Words – Given an array of strings words, return all words that are concatenations of at least two shorter words al...

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

Design Efficient Data Structure for Median Retrieval

Scenario Senior problem-solving round assessing algorithmic thinking under time pressure. Question Design a data structure that supports inserting int...

Coding & Algorithms
2
0
27 people solved
Aug 4, 2025
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Amazon
Medium
Data Scientist

Determine Discount's Effect on Conversion Rate with A/B Testing

Determine Discount's Effect on Conversion Rate with A/B Testing A/B Test Design: 10% Discount Impact on Conversion Scenario An e-commerce retailer wan...

Analytics & Experimentation
4
0
46 people solved
Aug 4, 2025
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Amazon
Medium
Data Scientist

Calculate Weekly, Monthly Hours Watched by Premium Users

watch_events +-----------+----------+----------------+-----------------------+----------------+ | user_id | video_id | watched_minutes| watched_at ...

Data Manipulation (SQL/Python)
0
0
5 people solved
Aug 4, 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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