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 a Distributed Crossword Solver
Design a Distributed Crossword Solver Design a distributed system that solves crossword-like word puzzles at scale. You are given a rectangular grid o...
Design CI/CD Build Caching
You are given a simple CI/CD platform. Users submit workflow definitions in YAML. A workflow contains multiple jobs, and for this exercise the jobs ru...
Validate AI-Generated Code Safely
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Design Online Chess Matchmaking
Design the backend architecture for an online chess platform's matchmaking system. Players submit requests to play ranked or casual chess games. A req...
Design a Played-By Summary System
Design the backend system that powers a single line of social proof on a game's detail page, such as: > Alice, Bob, and 12,345 people have played this...
Design a Food-Delivery Backend (Uber Eats-style)
Design the backend for a food-delivery platform like Uber Eats. A customer opens the app, browses nearby restaurants, places an order from a menu, pay...
Explain Core ML Interview Concepts
You are in a phone screen for an applied scientist / machine-learning engineer role and are asked to verbally explain a set of machine-learning fundam...
Design a Task Scheduler for Opaque Long-Running GPU Jobs ("Design Sora")
Design a task scheduler that runs long-running, opaque video-generation jobs at scale (the "Design Sora" prompt). Your platform lets users submit a te...
Design Multi-Dimensional Request Rate Limiting
Design a rate limiter for a backend service that runs across multiple application servers. The system must decide, for every incoming request, whether...
Design a Log Collection System
Design a scalable log collection system for a company that runs many services across thousands of machines. The system must collect application and in...
Implement a Simple Memory Allocator
Design and implement a simplified memory allocator exposing malloc(size) and free(ptr) over a single fixed-size heap (a contiguous byte array). The al...
Compute entropy and implement 1-NN
You are given two short ML coding problems from a machine-learning engineer screen. Both are implementation-focused but probe whether you understand t...
Build a Durable Key-Value Cache
Design and implement an in-memory key-value cache backed by a write-ahead log (WAL) so that the cache survives process crashes. The implementation run...
Design a Book Price Aggregator
Design a book purchasing marketplace where your service acts as an intermediary between customers and hundreds of partner bookstores. Your service hol...
Design a chargeback ingestion and export system
Design a chargeback ingestion and export system for a bank. The system receives chargeback-related transaction records from internal payment and dispu...
Design Comment Prediction Ranking System
Design an end-to-end machine learning system that powers the following prediction API: ` will_user_comment_on_posts(user_id, post_ids) -> scores ` Inp...
Design a Text-to-Video Generation System
Design a Sora-like text-to-video generation platform. Users submit a text prompt, optional generation settings (duration, resolution, fps, seed, model...
Design a Resilient Document Aggregation Service
Design a Resilient Document Aggregation Service Your team owns a backend service that assembles a "document bundle" for clients. To build one bundle, ...
Improve Keyword Search Ranking
You are an ML engineer on a search product that today relies on a keyword-based index (an inverted index with lexical matching, e.g. TF-IDF / BM25). U...
Design ad frequency capping
Design an Ad Frequency Capping System Design a frequency capping system for an advertising platform. The system must ensure that a user does not see t...