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.
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Design a large-scale temperature sensor system
This question evaluates system design and distributed-systems competencies including large-scale data ingestion, time-series storage, real-time visual...
Design a weighted random value generator
This question evaluates understanding of weighted random sampling, probability-proportional selection, data structures for aggregating weights, and AP...
Find shortest subarray to restore order
Given an integer array, find the shortest contiguous segment which, if sorted in ascending order, makes the entire array non-decreasing. Return the le...
Describe handling deadlines, conflicts, feedback, and ownership
Behavioral Interview Prompts — Software Engineer (Onsite) Context: You will be asked to share specific, first-person examples using a structured forma...
Validate a training courses catalog
This question evaluates understanding of directed graphs, cycle detection, dependency validation, and data consistency in the context of a training co...
Find top-k lottery winners by spending
This question evaluates skills in selection and ordering of numeric-keyed records, covering concepts such as order statistics, deterministic tie-break...
Implement a formatted shell script output
Implement a formatted shell script output Write a shell script named script.sh that is invoked as: ./script.sh <username> <path_of_file>. It must prin...
Design a cloud storage service
Design a cloud storage service System Design: Cloud Document Storage and Sharing Service Context Design the backend for a large-scale cloud document s...
Demonstrate Amazon leadership principles
Demonstrate Amazon leadership principles Behavioral & Leadership Interview (Software Engineer — Onsite) Provide STAR-structured answers (Situation, Ta...
Facilitate Effective Collaboration in Tech Data-Science Teams
Facilitate Effective Collaboration in Tech Data-Science Teams Behavioral & Leadership (Data Scientist Onsite) Scenario You are interviewing for a Data...
Resolve Team Conflicts and Deliver Beyond Project Scope
Resolve Team Conflicts and Deliver Beyond Project Scope Behavioral Case: Team-Based Data Science Collaboration, Scope, and Customer Interaction Instru...
Mitigate Data Mistakes and Improve Team Efficiency
Mitigate Data Mistakes and Improve Team Efficiency Behavioral Questions (STAR Format) Context: You are interviewing for a data role at Amazon, where l...
Choose Between JOIN, BLEND, and RELATIONSHIP in Tableau
Choose Between JOIN, BLEND, and RELATIONSHIP in Tableau Tableau Data Modeling, Filters, and Visual Design Scenario You are preparing a Tableau dashboa...
Derive Key Business Metrics Using SQL or Python
Orders +----------+-------------+------------+---------+------------------+ | order_id | customer_id | order_date | amount | product_category | +----...
Ensure Data Quality and Deliver Impact Amid Challenges
Ensure Data Quality and Deliver Impact Amid Challenges Behavioral Question — Data Ownership, Dive Deep, and Measurable Impact Context You are intervie...
Identify Key Metrics for Monitoring Shipment Defects
shipment +-------------+----------+------------+---------+---------+ | shipment_id | order_id | ship_date | carrier | status | +-------------+------...
Calculate Defect Rate and Identify Top Lanes for Carriers
shipment +-------------+----------+-----------+---------+---------+-------------+-----------+ | shipment_id | order_id | ship_date | carrier | origin ...
Choose Models for Imbalanced Data and Time-Series Forecasting
Choose Models for Imbalanced Data and Time-Series Forecasting Scenario You must choose and tune models for (a) forecasting marketplace demand with sea...
Explain Decision-Tree Training and Clustering Algorithms
Explain Decision-Tree Training and Clustering Algorithms Decision Trees and Clustering: Training Mechanics and Core Principles Context Technical/phone...
Evaluate Ensemble Models for Bias-Variance, Speed, and Interpretability
Evaluate Ensemble Models for Bias-Variance, Speed, and Interpretability Large-Scale Recommendation System: Ensembles, Overfitting, Metrics, Architectu...