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."
Handle novelty and residual effects
This question evaluates a data scientist's competency in experiment design and causal inference for online metrics under temporal dynamics, specifical...
Analyze promo anomaly and design risk guardrails
During a 2‑hour 11.11 flash sale (11:00–13:00), an account A123 places 80 orders in 10 minutes using 12 payment cards across 5 device_ids; 9 orders sh...
Explain motivations, background, and success metrics
Give a concise overview of your background in e‑commerce risk control (30–60 seconds). Then: (1) Why do you want to join our e‑commerce risk team spec...
Contrast OLS, DiD, and PSM assumptions
This question evaluates proficiency in causal inference and econometric methods, specifically the ability to contrast OLS, two-way fixed-effects DiD, ...
Design and analyze a group-calls experiment
You are considering launching Group Video Calls. Answer all parts precisely; justify choices with pros/cons and formulas where relevant. 1) Clarify CT...
Compute unconnected 60s posts and reactions averages
Given these tables and sample data, write SQL that answers both tasks below. Use today = 2025-09-01 and interpret "last/past 7 days" as the inclusive ...
Quantify build-vs-buy training decision
Quantitative Decision Framework for Selecting a New Employee Training Program Context Your company must choose one of three ways to launch a new emplo...
Design and evaluate P2P payments in messaging
P2P Payments in a Large Messaging App — Design, Measurement, and Risk Plan You are a data scientist at an at-scale messaging platform evaluating a Ven...
Analyze ad targeting expectations and distributions
Ads Profit, Variance Decomposition, and Exponential Timing Context: You run an ad slot with two user segments. On each eligible page view (impression ...
Optimize precision–recall under class imbalance
You have extreme class imbalance (positive rate ~1%). You score 12 examples as follows (id, true_label, score): A,1,0.92; B,0,0.90; C,0,0.88; D,0,0.70...
Diagnose a metric drop in search time
Over the last 3 calendar months, the metric 'searching time per user per session' dropped by 35%. A teammate proposes modeling two distributions: T1 =...
Set the Group Call participant cap
We must set a maximum participants cap K for Group Calls. You have telemetry at the call level: calls(call_id, start_ts, participants_count, video_on_...
Define composite success for search and test it
A new search feature is evaluated with two binary labels per query: relevancy=1/0 and accuracy=1/0. 1) Propose a composite success metric that uses th...
Analyze omitted-variable bias in regression
Omitted-Variable Bias, Heteroscedasticity, and Remedies Setup - True data-generating process (DGP): Y = β0 + β1·Temp + β2·Occupancy + ε - Assumption...
Diagnose unbiasedness in a messy A/B test
This question evaluates a data scientist's ability to diagnose unbiasedness of an intent-to-treat (ITT) estimator in A/B testing under noncompliance, ...
Measure network effects and spillovers via experiments
Experiment design under network interference: direct and indirect effects Context You are evaluating a new social feature that can produce network spi...
Design a hashtag recommender for News Feed
Design: Hashtag Recommendations in the News Feed Context You are adding hashtag recommendations alongside posts in a large social app’s News Feed. The...
Increase posts receiving comments via experimentation
Increase the Share of Posts That Receive a Meaningful Comment You are a data scientist for a consumer social app with posts and comments. Your goal is...
Brainstorm how to optimize email engagement
Lifecycle Email: Increase Incremental On‑Site Engagement You own lifecycle email for a large consumer app and are tasked with increasing on‑site engag...
Analyze DAU comments distribution and resampling
Consider the metric comments_per_DAU (number of comments a daily active user makes in a day). a) Shape: Describe and justify the expected distribution...