Roblox Interview Questions
Practice 87 real interview questions from Roblox. Covers Coding & Algorithms, Analytics & Experimentation, System Design, Data Manipulation (SQL/Python). For roles including Data Scientist, Software Engineer, Machine Learning Engineer.
"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."
Defend a metric choice under scrutiny
Describe a time you chose a non-obvious primary metric (e.g., time-per-session over total time) and were challenged by a senior stakeholder. 1) How di...
Choose best/worst actions under OA pressure
Behavioral Scenario: Time-Boxed OA With Hidden Test Failure Context You are a data scientist candidate 70 minutes into a 90-minute online assessment (...
Implement robust one/two-sided p-value function
Implement p_value(stat, alternative, dist, df=None) Context: You're building a small, production-quality helper to compute p-values for common one- an...
Compute diff-in-diff and pretrend flag
You are given individual-level observational data for an experiment-like setting with: - period[i] ∈ {0,1}: 0 = pre period, 1 = post period - treatmen...
Rank features using logistic regression coefficients
You are given a binary classification dataset: - X: a 2D array of shape (n_samples, n_features) containing numeric features - y: a 1D binary array of ...
Demonstrate fit with quantified stories and motivations
Behavioral & Leadership Technical Screen Prompt (Data Scientist) Provide two stories—one professional and one personal—that demonstrate you’re a stron...
Design and analyze an ads ranking experiment
Ads Ranking Model: Experiment and Analysis Plan Context You are evaluating a new ads ranking model expected to increase revenue but potentially harm u...
Derive variance and CTR confidence intervals
CTR as a Proportion: Estimation, Confidence Intervals, and Day-Level Variability Context: Click-through rate (CTR) is a proportion metric defined as C...
Determine Player Preference for Local Game Creators
Player Preference for Local Creators — Metrics and Causal Estimation Without A/B Tests Context You are evaluating whether players on Roblox prefer gam...
Determine if players prefer local creators without experiments
You cannot run an A/B test. Define “local creators” as creators whose games use a player’s native language. Design an observational study to estimate ...
Design leakage-free predictive maintenance pipeline
Predict 24-hour Machine Faults from an Hourly Panel (End-to-End Design) Context You are given a machine–hour panel: one row per machine per hour with ...
Describe resolving revenue–UX metric conflict
Behavioral: Leading a High-Stakes Revenue vs. UX Trade-off Context: You led a decision where ads revenue goals conflicted with user-experience metrics...
Design ad revenue A/B with guardrails
Mobile App Ads Marketplace: Experiment Plan to Lift Revenue by 10% in 60 Days Context You run a mobile app ads marketplace. Target is to increase ad r...
Design a Static Audio Detection System
System Design: Static Audio Detection Pipeline Context Design an offline (non-live) audio detection system that processes static audio files (e.g., us...
Randomly partition array into k segments
Question Given a list of integers and an integer k representing the number of segments, write a function that randomly partitions the list into k non-...
Match requests and accepts into friendships in SQL
Given two event tables, write a single SQL query (PostgreSQL) to output unique undirected friendships with the earliest valid friendship_date. Schema ...
Clean and aggregate factory event data in Pandas
You are given three Pandas DataFrames for a factory: (1) events[event_id, machine_id, ts_utc (datetime64[ns, UTC]), event_type in {'start','stop','fau...
Implement deduped CTR/RPM aggregator over event stream
Implement a Python function to compute per-day, per-campaign CTR and RPM from an event stream with possible out-of-order and duplicate click events. I...
Compute CTR, RPM, and daily RPM variability in SQL
Write ANSI-Postgres SQL to compute, for each campaign, over the last 7 days inclusive (assume "today" is 2025-09-01, so the window is 2025-08-26 throu...
Write SQL for ads metrics and variability
Write ANSI SQL to compute daily and campaign-level metrics, including averages and standard deviations of daily CTR and CPC, using the schema and samp...