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."
Implement Notification Rate Limiter
Implement should_send_notifications(user_id, timestamp) -> bool. You are given two mappings: - each user_id belongs to exactly one team_id - each team...
Design a large-scale ticketing system
Design an online ticketing system similar to Ticketmaster that supports very high concurrency for popular events where many users try to purchase tick...
Explain your biggest project with trade-offs
Behavioral interview (Amazon-style). 1) Pick the biggest/most impactful project you worked on. Explain the problem, your role, the technical design, a...
Merge CSVs and build revenue pivot with pandas
You receive four CSVs and must replicate an Excel VLOOKUP + PivotTable workflow using Python/pandas. CSV samples: customers.csv customer_id,signup_dat...
Design a loan application system
Design a loan application system System Design: End-to-End Online Loan Application Platform Context Design a small online lending platform where appli...
Explain Collaboration, Ambiguity, and Prioritization
Answer the following behavioral interview prompts using concrete examples from past projects: 1. Describe a time you collaborated with other people on...
Design Pricing Model Experiment
You work as a data scientist for a ride-hailing marketplace. The company wants to launch a new pricing model that may change the price shown to riders...
Design Podcast Recap Generation
Design a production system that generates short podcast recaps for newly published episodes. Assume the system should ingest episode audio and metadat...
Walk Through One Past Project
Pick one project you personally worked on and explain it in depth. Cover the problem it solved, the users or customers, the main requirements, the arc...
Discuss the future of quantitative finance
Outlook on Quantitative Finance (Next 5–10 Years) Context: You are interviewing for a data-focused role in quantitative finance. Provide a concise, st...
Design a scheduled payment system
System Design: Scheduled Payment Service Context You are designing a backend service that allows end users to: - Schedule a payment for a future date/...
Find top-paid employee per department
Tables Assume the company stores employee compensation by department assignment. employee_dept_salary - employee_id INT - employee_name VARCHAR - depa...
Build an LLM-driven text-game agent
You are given a terminal-based text game and a several-hundred-line Python baseline that uses hand-written heuristic rules to choose actions. Replace ...
Design Real-Time Collaborative Editing
Extend the text editor to support real-time collaboration among multiple users. Requirements: - Multiple users may edit the same document concurrently...
Compute Exclusive Execution Times
You are given n functions labeled from 0 to n - 1 and a chronological list of execution logs from a single-threaded CPU. Each log has the format: `tex...
Calculate Playback Counts per Stream
You are given two database tables: streamer | column | type | description | |---|---|---| | streamer_id | integer | Primary key of the streamer | | st...
Simulate document assignment to indexers
You are given a system with m parallel indexers (workers), numbered from 0 to m-1. Documents arrive over time and are placed in a processing queue. Ea...
Design a clickstream ingestion and aggregation pipeline for billions of events per day
Design a clickstream ingestion and aggregation pipeline for billions of events per day You are designing the data platform for a large consumer stream...
Design a Global Calendar Service
Design a calendar system for users in multiple time zones. The system should support: - creating, updating, deleting, and viewing calendar events - on...
Implement decoder-only GPT-style transformer
Goal Implement a simplified decoder-only Transformer language model (similar in spirit to GPT) for next-token prediction. The implementation should be...