Interview Questions
Practice the exact questions companies are asking right now.
"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."
Design an order-matching engine
In-Memory Limit Order-Matching Engine (Limit Order Book) Context Design and implement an in-memory, single-instrument limit order book that supports l...
Explain virtual machines and concurrency basics
Topics Answer at a senior-engineer depth. Use diagrams or step-by-step reasoning as needed. 1) Virtual machines (VMs) - What is a VM and what problem ...
Find global GPU idle intervals
You are given a set of GPU tasks. Each task is a tuple (start, end, node_id) where: - start and end are timestamps (e.g., integers, with start < end)....
Implement Chat Event Counter
Design an in-memory counter for chat activity. You need to implement a class with the following two methods: `text processEvent(userId: string, chatId...
Print a binary tree as aligned text
Implement a function that prints (or returns) an ASCII layout of a binary tree. Requirements: - Each node has a string value (assume it contains no sp...
Design in-memory database API
Design an In-Memory Database: Insert, Query, and Indexing Design and implement a minimal, single-process, in-memory database intended to be embedded i...
How would you mentor junior teammates?
Question You are interviewing for a senior-level data science role at DoorDash. The interviewer asks: > As a senior, how would you mentor others (espe...
Solve interval, grid-fill, and heap tasks
You are asked to solve the following algorithmic problems. Problem 1: Concurrent users from online intervals You are given n inclusive time intervals ...
Design an airline booking system
System Design: Airline Booking System Design an airline booking platform that lets travelers search for flights, book them, select seats, and modify o...
Design Harmful Content Detection
Design an end-to-end machine learning system to detect harmful user-generated content on a large online platform. Assume the platform accepts text and...
Describe a cross-functional project you’re proud of
Describe a project you are most proud of, ideally one that required cross-team (cross-organizational or cross-functional) collaboration. Your answer s...
Implement LRU and LFU caches
Implement two in-memory cache classes with fixed capacity: 1. Recent-use cache - get(key): return the value for key, or -1 if the key does not exis...
Model particle hits on a screen
A point source at (0, 0) emits particles toward an infinite vertical screen located at x = 1. For each particle, sample an angle theta uniformly from ...
Implement text editor with undo/redo
Implement a TextDocument class that supports applying edit operations, reading the current content, and full undo/redo, based on the following Python ...
Prepare Leadership And Collaboration Stories
Prepare concise behavioral interview answers for the following prompts. Use specific examples from your own experience, quantify impact where possible...
Demonstrate effective AI-assisted coding workflow
In an interview where you are allowed to use an AI coding assistant, you are given a large scoped task (e.g., implementing a TCP chat server). The int...
Implement an in-memory DB with TTL backup/restore
Problem Design an in-memory database that stores values in a nested structure: - key (string) → field (string) → value (string) - Each (key, field) en...
Implement a rate limiter and a pub/sub API
You have two coding/design (low-level design) tasks. 1) Rate limiter Design and implement a rate limiter with an API like: - boolean allow(String clie...
Explain bias–variance, overfitting, and vanishing gradients
Answer the following ML fundamentals questions: 1. Bias–variance tradeoff: What are bias and variance? How do they relate to underfitting/overfitting?...
Evaluate Fresh Content and Video Experiments
Pinterest wants to improve the perceived freshness and engagement of the home feed. Answer the following interview questions: 1. Define a practical me...