Meta + Google + TikTok + Amazon 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."
Describe an ambiguous project you handled
Describe a time when you worked on a project with a lot of ambiguity (unclear requirements, unknown constraints, or shifting priorities). Explain: - W...
Merge overlapping intervals
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Explain your background and career choices
Explain your background and career choices Behavioral Technical Screen: Resume Walkthrough and Career Narrative Context You will be asked to present a...
Design async job orchestration and notification service
Design async job orchestration and notification service System Design: Batch Orchestration Over an External Asynchronous Cluster Context You are desig...
Explain Redis design, persistence, and scaling
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Explain Kafka architecture and reliability semantics
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Check if all substrings are dictionary words
You are given a string s (letters only) and access to an English dictionary dict (a set of valid words). Return true if every contiguous substring of ...
Describe career plan and teamwork approach
Answer the following behavioral questions: 1. Career planning: What are your next 1–3 year career goals, and why are you pursuing this role/team now? ...
Solve pair-counting and account-merging problems
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Design an experiment for exploratory recommendations
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Diagnose Causes and Test Hypotheses for Metric Drop
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Address Overfitting with L1 Regularization in Regression
Linear Regression with Many Predictors and Few Observations You fit an ordinary least squares linear regression with 500 predictors and 600 observatio...
Evaluate Impact of Targeting Ads to High-Intent Users
Evaluate Impact of Targeting Ads to High-Intent Users A product manager proposes allocating all ad impressions to users predicted to be high intent, a...
Compare Regularization Techniques and Their Use Cases
Compare Regularization Techniques and Their Use Cases This technical phone screen asks about model evaluation, regularization, and regression basics f...
Analyze Negative Reviews' Impact on Coupon Repurchase Rate
Measuring Negative Reviews' Impact on Coupon Repurchase Management wants to understand how negative customer reviews affect the probability that a use...
Compare Logistic Regression and Random Forest in Limited Data Scenarios
Compare Logistic Regression and Random Forest in Limited Data Scenarios You are designing a binary classifier with limited labeled data. The signal ma...
Demonstrate Leadership and Ownership in Energy Analytics Role
Behavioral Interview: Ownership, Resume Walkthrough, and Energy Analytics Motivation You are interviewing for a Data Scientist role on an Amazon-style...
Design Incremental Load Process for Large Relational Table
orders_daily_load +------------+-----------+-------------+--------+ | load_date | order_id | customer_id | amount | +------------+-----------+------...
Adjust YouTube Ad Scores Using Mixed-Effects Linear Regression
Adjusting YouTube Ad Scores with Mixed-effects Regression One hundred reviewers each rate the same 100 YouTube ads on a 1 to 10 scale. Some reviewers ...
Optimize Email Strategy for New Prime Video Series Launch
Optimizing Email Strategy for a New Prime Video Series Launch You are designing, deploying, and evaluating ranking models and marketing emails for Pri...