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 tail -n for a Very Large File Design and implement the core of tail -n: given a seekable file and a non-negative integer n, return the final...
Explain the differences between a process and a thread in Linux. Then explain how Python differs (e.g., the GIL), and when you would use Python thread...
This question evaluates competency in stateful stream processing, event-driven aggregation, in-memory state management, time-based expiry, and produci...
Design a cloud object storage service similar to Amazon S3. The service should allow clients to upload, store, and download large files reliably and e...
This question evaluates a candidate's ability to reason about two-pointer string traversal and palindrome verification under a single edit constraint....
This question assesses mastery of software engineering fundamentals across object-oriented design, Java collections, and the Spring framework. It test...
This question tests practical coding ability by requiring implementation of a command-driven state machine on a bounded 2D grid. It evaluates simulati...
This question evaluates a machine learning engineer's competency in designing production-scale recommendation and ranking systems that balance revenue...
You are given three independent programming tasks. For each, describe and implement an efficient algorithm, and be prepared to analyze its time and sp...
This question evaluates a data scientist's skills in experimental design, product-metric specification, causal inference, and diagnostic analysis for ...
Answer the following computer-science fundamentals questions: 1) What are the time complexities (Big-O) of common sorting algorithms (e.g., bubble sor...
This question evaluates logical reasoning about information constraints, group strategy design, and combinatorial encoding in the Coding & Algorithms ...
Design an ML-powered search autocomplete system that suggests query completions as the user types (e.g., after typing a prefix like "ipho" suggest "ip...
This question tests a candidate's practical grasp of graph traversal algorithms applied to 2D grid problems, specifically BFS for unweighted shortest-...
Explain and Compare SGD and Adam Explain how stochastic gradient descent updates model parameters and how Adam modifies those updates using moving est...
This question evaluates understanding of concurrency and parallelism, specifically multithreading versus multiprocessing, their interaction with multi...
This question evaluates a candidate's competency in end-to-end machine learning system design for recommender systems, covering personalization, candi...
Design and implement a tiny language runtime Minimal Imperative Language — Design and Implementation Task Context You are asked to design and implemen...
This question evaluates skill in scheduling algorithms, priority queue and heap usage, greedy decision-making, and time-based event simulation for man...
Prompt The interview report mentioned detailed questions about the candidate's batch- and stream-processing experience, but it did not preserve an exa...