Amazon Interview Questions
Practice 631 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.
"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"
"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"
"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."
"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."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"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."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"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."
"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."
"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."
"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."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"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."
Generate Synthetic Clickstream Data with Python Function
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Describe Managing an End-to-End Project for Scalability
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Design Efficient Data Structure for Median Retrieval
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Tell me about exceeding your responsibility
Answer these Amazon-style behavioral interview questions with concrete STAR stories: 1. Tell me about a time you went beyond your formal responsibilit...
Design a search relevance prediction approach
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Explain core ML fundamentals
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Detect cycle in a directed graph
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Demonstrate ownership and deliver results
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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...
Compute grid shortest path with obstacles
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Maximize optional tasks under daily limit
You are given an integer limit and two integer arrays required and optional of length n. For each day i, you must schedule required[i]. If time remain...
Maintain real-time top-K products from events
Design a data structure/class that ingests a stream of product events and returns the current top‑K products at any time. Events include {timestamp, p...
Compute tree diameter
Given a (potentially large) binary tree, compute its diameter (the number of edges on the longest path between any two nodes). Implement an O(n) solut...
Merge overlapping and adjacent ranges
Given an unsorted list of integer ranges represented as half-open intervals [start, end) with start < end, merge all overlapping or directly adjacent ...
Explain deep learning and transformer concepts
Deep Learning, Transformers, and Audio ML Concepts You are interviewing for a machine-learning role focused on sequence and audio modeling, such as sp...
Reflect on self, goals, learning, competitions
Prepare structured behavioral answers for these interview questions: 1. Give three words that accurately describe you as a professional, and illustrat...
Explain core ML fundamentals
Explain core ML fundamentals Machine Learning Fundamentals: Regularization, Losses, PCA, and Random Forests Assume standard supervised learning with l...
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...
Design async job orchestration and notification service
Design async job orchestration and notification service System Design: Batch Orchestration Over an External Asynchronous Cluster Context You are desig...
Find first unique character
Find first unique character Given a lowercase/uppercase alphanumeric string s, return the index of the first character that appears exactly once; if n...