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."
Answer an LLM Systems Quick-Fire Interview
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Build a Resilient Chain of Clue-Driven HTTP Requests
Build a Resilient Chain of Clue-Driven HTTP Requests Implement or design a client that starts from one URL and follows a chain of HTTP responses. A su...
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Describe Something New You Learned Recently
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Navigate Challenges, Conflict, and Mentorship on a Major Project
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Critique a Recent Engineering Project and Explain What You Would Redo
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Compare Survey Satisfaction for New and Established Users
The interview report preserved the survey tables and the request to compare response levels for new and old users, but it explicitly noted that the in...
Design a Distributed Rate Limiter
This question evaluates competency in distributed systems architecture, API and data model design, performance engineering, and operational concerns s...
Design an Indexable Deque with O(1) Access
Design a data structure backed by a deque that supports push front, push back, pop front, pop back, and O(1) access by logical index. Explain how an o...
Explain Team Impact and Executive Collaboration
Explain Team Impact and Executive Collaboration Discuss how you created positive impact beyond your own assigned tasks and how you worked with senior ...
Find Bugs in an LRU Cache
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Explain Your Ownership in a Large System
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Build a Progressive Employee Tracker
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Navigate a Maze Through a Next-Step API
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Design User and Item Embeddings from Long Histories
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