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."
Demonstrate invent-and-simplify and customer communication
Behavioral: Two STAR Stories (Data Scientist, Technical Screen) Provide two concise STAR stories that demonstrate your ability to invent/simplify and ...
Compare Tableau live vs extract and filters
Scenario You are building an interactive dashboard over a 100M-row fact table. Compare Tableau connection options and performance behaviors for this s...
Prioritize a new warehouse proposal with data
Build vs. Lease vs. Defer: New Fulfillment Center Decision Context You are evaluating whether to open a new fulfillment center (FC) to improve deliver...
Implement a high-throughput web crawler safely
Design and code (pseudocode acceptable) a multi-threaded web crawler that favors breadth-first discovery while continuously running analysis tasks on ...
Describe leading through stakeholder conflict and ambiguity
Describe a time you had to push back on a senior stakeholder to stop a rushed launch of a metric/report or experiment you believed was invalid. Includ...
Diagnose a non-significant experiment outcome
A/B Test Interpretation, Power, and Decision-Making Under Asymmetric Loss Context You ran a two-sample A/B test on a primary mean metric (two-sided t-...
Design experiments under network interference
A/B Test Design for Search-Ranking in a Two-Sided Marketplace with Interference Context You need to evaluate a change to the search-ranking algorithm ...
Demonstrate ownership beyond responsibilities
Describe a time you proactively took on work outside your defined responsibility to deliver a measurable business outcome. Include: 1) context, stakes...
Evaluate brand ads effectiveness on social media causally
Hypothesis: 'Social media (e.g., Facebook) is not effective for brand advertising compared with other channels.' You have historical multi-channel dat...
Design robust group size limiting for calls
Design the admission-control and enforcement algorithm to limit group-call size under real-world race conditions. Constraints: multiple SFU edges in m...
Predict and act on contract renewal risk
Predicting Enterprise Contract Renewal After a Quality Incident Context A video-conferencing provider experienced a spike in call disconnects. You nee...
Design a clustered A/B test with spillovers
This question evaluates a data scientist's understanding of cluster-randomized experiments with spillovers, covering causal inference under interferen...
Choose and compute recommender evaluation metrics
Restaurant Recommender: Offline Evaluation and Modeling Context: You are scoring p(y=1|x) with logistic regression to predict if a user will engage wi...
Compute p-values, CIs, and adjust multiples
Hypothesis testing and intervals in practice. Part A (z vs t): You sample n = 15 observations from a population with unknown variance and observe samp...
Design a clustered notification experiment with guardrails
You work on a mobile travel app (think TripAdvisor-like) that will test a new push-notification policy recommending nearby attractions. Design a rigor...
Decide and experiment on Group Call feature
Assume today is 2025-09-01. You have only one table, calls_daily_agg(date, user_id, country, device_tier, one_to_one_calls_started, one_to_one_call_du...
Test two models' proportions for significance
Two search models, A and B, were each used once by 100 distinct users (one query per user). Success is defined per query by your composite metric (suc...
Demonstrate leadership under strict rules
Behavioral — STAR: Operating Under a Non‑Negotiable Policy Context: Onsite behavioral & leadership interview for a Data Scientist. Describe a specific...
Evaluate Facebook Dating launch and validate success
Validation Plan: Scaling Facebook Dating from Pilot to Broader Rollout Context: You are a data scientist evaluating whether a limited-market pilot of ...
Design and analyze end-to-end A/B test
This question evaluates experimentation design and analysis competencies for A/B testing, including metric selection, statistical interpretation, inte...