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."
Understand SQL Aggregations and Joins: Key Differences Explained
Employees +----+--------+--------+---------+ | id | name | salary | dept_id | +----+--------+--------+---------+ | 1 | Alice | 70000 | 1 | ...
Identify Users Interested in Group Video Calls
video_calls caller | recipient | ds | call_id | duration u1 | u2 | 2023-09-01| c100 | 320 u3 | u4 | 2023-09-01| c101 ...
Generate Friendship List with Acceptance Dates Using Pandas
friend_events | requester_id | accepter_id | request_date | accept_date | |--------------|-------------|--------------|-------------| | 1 |...
Compute 7-Day Rolling Average of Unique Post Viewers
POST_VIEWS +---------+------------+---------+ | user_id | view_date | post_id | | 101 | 2023-08-01 | 10 | | 102 | 2023-08-01 | 11 |...
Identify Employees with Invalid Department References
EMPLOYEE +-----+-----+--------+ | eid | did | ename | +-----+-----+--------+ | 1 | 10 | Alice | | 2 | 11 | Bob | | 3 | 99 | Carol | +--...
Calculate Regional Revenue and Identify Top Customers
Customers | customer_id | name | region | |-------------|-------|--------| | 1 | Alice | East | | 2 | Bob | West | | 3 ...
Analyze Recent Post Performance Using SQL Queries
INFO_STREAM_VIEWS +---------+-----------+--------------+----------+------------+ | post_id | viewer_id | relationship | duration | ds | +-----...
Merge Two Insertion Diffs in Linear Time
A text-editing system represents changes to a document as insertion diffs. An insertion diff is a set of (position, value) pairs, where each pair mean...
Explain a stochastic process simply
Explain a Stochastic Process Simply In plain, non-technical language, explain what a stochastic process is to a hiring manager. Constraints & Assumpti...
Behavioral Decision-Making & Improvement
Behavioral Decision-Making and Improvement Prompts for a Product Manager Prepare structured answers for a Product Manager behavioral onsite. Keep each...
Behavioral Problem-Solving Scenarios
Behavioral Problem-Solving Scenarios for an Amazon Product Manager Prepare concise, structured examples for an onsite Product Manager behavioral loop....
Behavioral Decision-Making & Growth
Behavioral PM Prompt: Decision-Making and Growth in a Regulated Domain You are interviewing for a Product Manager role in a regulated, data-heavy doma...
Innovation, Root Cause, and Deadline Management Stories
Behavioral and Leadership Prompt: Innovation, Root Cause, and Deadline Management You are preparing for a Product Manager behavioral or leadership int...
How to compute correlation from variances
Statistics Prompt: Compute Correlation from Variances You have two random variables \(X\) and \(Y\). You are told: - \(\mathrm{Var}(X+Y)\) - \(\mathrm...
Tiktok DS Interview Questions
Scenario: You are provided with two tables: minute_streamed and minute_viewed. The minute_streamed table records each minute of streaming activity, wh...
Diagnose SLA drops and prioritize fixes
You are a Technical Program Manager responsible for an ML platform or service. Explain how you would perform root-cause analysis if a service's SLA su...
Phone Keypad Predictive Text Suggestions
Phone Keypad Predictive Text Suggestions You are building the predictive-text feature for a classic 9-key phone keypad. Each digit from 2 to 9 maps to...
In-Memory Key-Value Database with Nested Transactions
In-Memory Key-Value Database with Nested Transactions Implement an in-memory key-value database that processes a sequence of commands and supports nes...
Design a Fixed-Capacity Least-Recently-Used Cache
Design a Fixed-Capacity Least-Recently-Used Cache Design and implement a cache with a fixed maximum capacity that evicts the least recently used entry...
Greedy Longest-Match Tokenizer for an LLM Data Pipeline
You are building a text pre-processing step for a large-language-model training pipeline. Before raw text can be fed into the model, it must be split ...