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."
Diagnose and fix flawed model fit
This question evaluates a data scientist's competency in applied supervised learning diagnostics, including feature encoding, feature scaling, class i...
Design a creator posting-frequency experiment
This question evaluates experimental design and causal inference competencies for a Data Scientist, including precise metric definition, randomization...
Diagnose a sudden KPI drop and validate causes
A core KPI (comments_per_DAU) suddenly drops materially. Outline a structured root-cause analysis and validation plan. a) Scoping and sanity: Quantify...
Analyze daily comments distribution and sampling
Daily Comments per Active User: Sampling and Inference You have, for a given day d, the count of comments made by each active user. Let there be m act...
Design an operations dashboard with justifications
Design an Operations Dashboard for Same-Day Delivery Station Performance Goal Create a real-time dashboard for a delivery-station manager to monitor a...
Diagnose a watch-time drop and design experiments
This question evaluates a data scientist's competency in experimental design, causal inference, metric selection and definition, segmentation, and sta...
Choose tests and solve distribution parameters
Engagement Comparison: New vs Existing Users (2025-08-05 → 2025-09-01) Context: You have per-user daily session counts (integer, skewed, many zeros) f...
Justify EU B2B Chat Product Strategy
Executive Brief Task: EU B2C Customer-Service Chat (Subscription) Context You are asked to prepare a one-page executive brief recommending whether to ...
Design a restaurant recommender under constraints
This question evaluates a candidate's competency in designing scalable machine learning recommender systems, covering retrieval and ranking architectu...
Evaluate fraud classifier with cost-sensitive metrics
Binary Fraud Classifier: Metrics, Thresholding, Calibration, and Online Evaluation You inherit a binary fraud classifier used to decide whether to blo...
Evaluate shopping tab pre- and post-launch
Instagram Shopping Tab — Measuring Off‑App Purchases, Opportunity Sizing, and Launch Readout Context Instagram is planning a new Shopping tab. Users o...
Design cluster-randomized test under network effects
A/B Test Design for a New Group Call Feature with Network Effects You are designing an experiment for a Group Call feature where social network effect...
Demonstrate leadership in data-driven scenarios
Behavioral & Leadership Prompts for a Data Scientist (Onsite) Instructions: - Answer each prompt with a specific story using the STAR structure (Situa...
Design experiment for unconnected content in feed
Analytics & Experimentation Case: Socialness of Friends vs Unconnected Content Context You work on a personalized feed that shows posts from friends a...
Reflect on a failed decision and redo it
Behavioral & Leadership (Data Scientist Onsite) Prompt: High-Stakes Decision That Turned Out Wrong Describe one specific decision you owned that mater...
Compute posterior and event counts in fraud screen
Fake-Account Screening with Threshold on 5 Signals You are designing a rule-based screener that flags an account if at least k of 5 binary signals fir...
Analyze DFS, BFS, and A* trade-offs
Given a weighted graph with nodes {S,A,B,C,D,G} and edges: S–A(2), S–B(5), A–C(2), B–C(1), C–D(2), D–G(1), B–G(20). Heuristic for A*: h(A)=4, h(B)=3, ...
Explain SHAP vs VIF under collinearity
High Collinearity in Binary Classification: VIF, SHAP, and Interpretation Strategy You are modeling a binary outcome Y. Two numeric features A and B a...
Choose linear regression or decision tree appropriately
Choose Between Linear Regression and a Decision Tree Under a Hinge and Interaction DGP Context You have 100,000 i.i.d. observations with features x1 (...
Derive L1 vs L2 effects with correlation
Multicollinearity: Ridge vs LASSO vs Elastic Net Setup - Two standardized predictors x1 and x2 with corr(x1, x2) = 0.99. - X'X = [[100, 99], [99, 100]...