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."
Comparing two ad‑insertion strategies
Comparing Two Ad Insertion Methods You are designing an ad insertion system. In a short time bucket or session, there are n eligible content slots whe...
Interpreting metrics when autoplay videos reduce time‑spent but increase DAU
Autoplay Snippets: Time Spent Down, DAU Up You are analyzing an A/B test where short autoplay video previews were enabled in feed. Per-session time sp...
Evaluate Recommendation Feature with Historical Data Analysis
Offline Evaluation of a Recommendation Feature With Historical Data The company is considering launching a new recommendation-system feature and wants...
Analyze Group Call Adoption Using SQL Queries
CALL_LOGS | call_id | user_id | call_start | call_end | is_group_call | participant_cnt | | 101 | 12 | 2023-08-01 10:00...
Evaluate Cost, Time, Security, Flexibility for Training Options
Evaluate Cost, Time, Security, and Flexibility for Training Options Your company needs to roll out an organization-wide employee training program. The...
Determine Facebook's Restaurant Recommendation Viability Using Data
Determine Facebook's Restaurant Recommendation Viability Using Data Facebook may launch a restaurant-recommendation product that helps people discover...
Determine Features for Effective Hashtag Recommendations
Hashtag Recommendation System Design You are designing a hashtag recommendation system for a social-media platform. Given a user composing post conten...
Determine Probability of Shared Videos in Recommendations
Meta statistics and product prompt on video recommendation overlap, covering combinations, probability of shared videos, expected intersection size, s...
Calculate User Registration Date and 7-Day Retention Rate
user_posts +---------+--------------+-----------+ | user_id | posting_date | num_posts | +---------+--------------+-----------+ | 1 | 2023-01-01...
Probability a negative review came from a lazy reviewer
Bayesian Posterior: Negative Review and Lazy Reviewer Reviewer types in the population: - Lazy reviewers are 20% of reviewers and never leave negative...
Evaluate Factors Before Replacing Recommendation Model
Evaluate Factors Before Replacing a Recommendation Model A large ads platform has built a new recommendation or ranking model and plans to deprecate t...
Identify Top Spenders and Segment Customers Using Python
orders +----------+---------+------------+----------+--------------+-------------------+ | order_id | cust_id | order_date | product | order_amount |...
Identify Most Popular First-Watched Movie in Viewing History
MOVIE_VIEWS +------------+--------------------+------------+ | customer_id| title | date | +------------+--------------------+-----...
Design Experiment to Measure Shopping Feature Impact
Experiment Design: Measure Instagram Shopping Impact Instagram is launching an in-app Shopping feature, such as product tags, shop surfaces, or in-app...
Define Success Metrics for Euro-Chat Customer-Service Chatbot
Success Metrics for the Euro-Chat Customer-Service Chatbot An e-commerce company deploys a customer-service chatbot called euro-chat to handle B2C sup...
Describe Overcoming a Major Challenge in Your Career
Describe Overcoming a Major Challenge in Your Career This is a behavioral deep-dive for a new-grad data scientist role. The interviewer may ask severa...
Analyze Impact of Customer Reviews on Sales Performance
Analyze Impact of Customer Reviews on Sales Performance A product team wants to understand how customer reviews influence sales. You have product-leve...
Identify Frequent Actor-Director Collaborations in Film Database
FILMOGRAPHY +-------+---------+------------+ | actor | dir | date | +-------+---------+------------+ | Tom | Nolan | 2020-01-01 | | Tom ...
Evaluating the Facebook ‘Memory’ feature
Evaluating the Facebook Memories Feature You are asked to assess whether the Memories feature, which resurfaces users' past posts, delivers real user ...
Optimize Predictive Analytics: Feature Engineering to Model Evaluation
End-to-End Predictive Analytics Project Walkthrough You are interviewing for a Data Scientist role. The interviewer asks you to describe a predictive ...