Amazon Coding & Algorithms Interview Questions
Practice 600 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."
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 ...
Implement DFS and tree algorithms
Part 1 (DFS on graph): Given an undirected graph with n nodes labeled 0..n-1 and an edge list, implement a function that returns all connected compone...
Insert and merge an interval
You are given a list of pairwise non-overlapping closed intervals [si, ei] sorted by start time, and a new interval [s, e]. Insert [s, e] into the lis...
Design a basic task management system
Design a Simple Task Management Service Requirements Design a simple task management system that supports: 1. Add a new task with a unique ID and desc...
Discuss deadlines, feedback, and deep dives
Question This Amazon software engineer behavioral screen walks through a set of leadership-principle prompts. Be ready to tell a distinct, recent stor...
Solve string partition and equal-sum package problems
1) Given a string itemCategories (lowercase English letters) and an integer k (0 ≤ k ≤ 26), count the number of indices i (1 ≤ i < n) that partition t...
Debug distributed-system performance problems
You are asked: “If a distributed system has a performance problem (latency/throughput regression), how would you approach it?” Describe a practical, s...
Explain LLM fundamentals and trade-offs
LLM Fundamentals — Onsite Interview Task Context: Assume a modern transformer-based LLM. Provide precise, concise explanations with examples and trade...
Explain deadlines, going beyond, and persuasion
Behavioral Prompt: Delivery Under Pressure, Exceeding Expectations, and Influencing Stakeholders Context: You are interviewing for a Software Engineer...
Explain attention and Transformers
Scaled Dot-Product Self-Attention, Transformer Architecture, and BERT vs GPT You are interviewing for a software engineer role focused on machine lear...
Merge overlapping intervals
Given a list of half-open numeric intervals [start, end), merge all overlapping or contiguous intervals and return a list of non-overlapping intervals...
Explain ML evaluation, sequence models, and optimizers
Scenario An interviewer is deep-diving into an ML project you built (you can assume it is a supervised model unless specified otherwise). They want yo...
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...
Maximize points with limited coworker skips
You and a coworker must unload a sequence of warehouses. For warehouse i there are c[i] items (non‑negative integers). Turns alternate starting with y...
Amazon New-Service Launch Cases
Product Design Case: Launch Three Products at Amazon You are asked to outline how you would approach launching three distinct products at Amazon: 1. A...
Amazon Behavioral Deep-Dive
Question Prepare concise STAR (Situation, Task, Action, Result) stories for the Amazon Product Manager behavioral round. The interviewer may probe any...
Implement PyTorch training loop
Implement a basic PyTorch training loop You are given a PyTorch neural network model, a DataLoader that yields (inputs, targets) batches, an optimizer...
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 number to form an expression. Count how many...
Explain Transformers and MoE in LLMs
You are interviewing for a role working with large language models (LLMs). Explain the following concepts and how they relate to building and scaling ...