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."
How do you answer common HR screen questions?
You are interviewing for a senior-level role and have a first-round HR/recruiter screening call. Prepare strong, concise responses to the following co...
Implement permutations and image retrieval
The coding portion included several short exercises for a vision-focused ML role: 1. Given an array of distinct integers, return all possible permutat...
Choose DynamoDB vs MySQL for a backend
In a backend system, you must choose a primary database for a core service. Explain when you would choose a key-value/NoSQL store (e.g., DynamoDB-like...
Answer conflict and ambiguity with STAR stories
Job Fit / Behavioral: STAR Stories Prepare answers using the STAR (Situation, Task, Action, Result) format for the following prompts: 1. Tell me about...
Design a multi-carrier parcel delivery system
Design a system for shipping customer parcels that supports multiple delivery partners/carriers (e.g., UPS, USPS, FedEx). Your system should enable an...
Design an ML-powered search system
Scenario Design an end-to-end search system for a consumer product (e.g., an e-commerce marketplace or content platform) where users type queries and ...
Answer DE behavioral and ramp-up questions
Answer the following behavioral questions for a Data Engineer (or data-focused full-stack) role. Provide specific examples. 1. Project under a tight d...
Design a Recipe Manager
Design an in-memory recipe manager with four levels of functionality. No UI is required; focus on clean APIs, data structures, and edge-case handling....
Implement Gradient Descent Regression
Implement linear regression from scratch to predict a continuous target y from input features X using gradient descent. Use mean squared error as the ...
Design Points-from-Transactions Service
Design a Scalable Loyalty Points Service (USD → Points at 1 USD = 1.5 Points) You are designing a service that awards loyalty points for purchase tran...
Implement an asyncio-based chat server
Async Chat Server (Python asyncio) Build a TCP chat server using Python's asyncio. The server listens on a given port and serves many concurrent clien...
Analyze Correlations and Generate Gaussians
You are interviewing for a quantitative data science role. Answer the following probability and simulation questions: 1. Let \(X\), \(Y\), and \(Z\) b...
Compute posterior for biased coin after 3H1T
You are given a coin known to be biased: one face lands with probability 2/3 and the other with probability 1/3, but you do not know whether Heads is ...
Debug and harden trial-assignment Python code
You are given the following simplified Python snippet used to assign users and trigger a 1‑month free trial: """ import random, datetime, requests def...
Merge Weekly Time Intervals
You are given a list of time intervals within a single week. Each time is written as a day-of-week plus a 24-hour clock, for example Sat 13:00 or Mon ...
Design real-time delivery tracking system
Question Design a real-time delivery / courier-tracking platform that gives dispatchers, operations, and customers live visibility into each courier's...
Design an ML search system with RAG
Design an ML search system with RAG System Design: ML-Powered Enterprise Search with RAG Design an ML-powered enterprise search system using Retrieval...
Build House Price Model Responsibly
You are asked two machine-learning questions. Part A: House-price prediction Using a cleaned housing dataset with target sale_price, describe an end-t...
Compute Optimal Die Re-roll Strategy
A fair six-sided die pays its face value in dollars. You may roll up to three times total. - After the first or second roll, you may either keep the o...
Design a recommendation system end-to-end
Design a Recommendation System End-to-End You are asked to design a large-scale recommendation system that powers a personalized feed — for example, a...