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 in-memory database
Design an in-memory database System Design: In-Memory Database Engine (Single-Node Core, Scale-Out Aware) Context Design the core of an in-memory, sin...
Should DoorDash add bicycle dashers?
DoorDash is considering onboarding bicycle couriers in a dense urban market that currently relies mostly on car or scooter dashers. As a Data Scientis...
Implement follow graph with snapshots and recommendations
Design and implement an in-memory “social network” component that supports following/unfollowing, point-in-time (snapshot) queries, and a simple recom...
Solve Markov, OLS-rotation, and coin-toss probability
Answer the following three interview questions. 1) Basic properties of a Markov (transition) matrix Let \(P\) be a transition matrix of a (time-homoge...
Fairly Distribute Money With Limits
Fairly Distribute Money With Limits You are given an integer amount representing a total sum of money to distribute, and a list of employees. Each emp...
First Word Matching Each Prefix Query
You are given a list of words (the dictionary) and a list of queries, where each query is a string prefix. For each query, return the index (0-based, ...
Answer OoO, caches, and memory-system questions
You are interviewing for a CPU/DV role. Provide clear explanations (and small worked examples where useful) for the following computer architecture to...
Design a bidirectional data sync dashboard
Design a bidirectional data synchronization platform and an internal dashboard. Scenario Your company integrates with multiple cloud providers (e.g., ...
Design a Data Stream Processor
Design a real-time data stream processing system for application events. Each incoming event contains fields such as event_id, creator_id, event_type,...
Count weekly customers with ≥$1000 YTD spend
Question You are given a transaction-level table and must compute a weekly time series of how many customers have reached a year-to-date spending thre...
Detect bots using comment distribution patterns
You are analyzing a social/video product where users can leave comments. You are told there may be bot activity. Prompt Using only behavioral data aro...
Handle imbalance, sampling, and overfitting
Practical ML questions (classification and generalization) Answer the following ML engineering/data science questions. A) Class imbalance You’re train...
Should We Launch Group Calling?
Question You work on a consumer calling product (think Messenger/WhatsApp-style voice) that currently supports only one-to-one voice calls. The team i...
Compute Minimum Production Days
Question You are given a list of product IDs products, where products[i] is the type of the product that must be produced at step i, and a non-negativ...
Analyze member video posting behavior by country
Question You are given two tables describing LinkedIn members and the videos they upload. Write SQL (and optionally Python where noted) to answer the ...
Implement a simplified grep with extensible flags
Problem Implement a simplified version of grep that searches a text file and returns the lines that match a given query string. You should focus on cl...
Train and improve a scikit-learn binary classifier
Practical ML fundamentals (Python + scikit-learn) You are given a small toy binary-classification dataset (e.g., arrays/dataframes X_train, y_train, X...
Assemble DNA payload strings from tagged fragments
You are given a list of DNA-like fragments. Each fragment is a tuple: - start_tag: string - end_tag: string - payload: string A valid DNA chain is for...
Implement 2D convolution forward pass
Problem Implement the forward pass of a 2D convolution (conv2d) from scratch (no deep learning libraries). You are given: - Input tensor x with shape ...
Design and implement an LRU cache
Problem Design and implement an LRU (Least Recently Used) Cache that supports the following operations in O(1) average time: - get(key) → returns the ...