Roblox Interview Questions
Practice 89 real Roblox interview questions for 2026 — real Roblox interview questions drawn from actual interviews with detailed solutions to power your interview preparation. This collection centers on coding and system-design challenges first (data structures, algorithms, scalable social systems and real-time services), then analytics, experimentation, SQL/Python data work, and behavioral leadership prompts. Expect multi-stage loops that mix timed coding screens, architecture/design interviews, product-analytics cases, SQL exercises, and STAR-style behavioral rounds. What’s evaluated: problem-solving speed, production-minded design tradeoffs, experiment rigor, and clear storytelling about impact. For Software Engineers, recurring themes include scalable social features (likes, counters, favorites), rate-limiting patterns (sliding-window and log-rate limiters), real-time matchmaking and recommendation architectures, and log-processing/ranking problems. Data Scientists face causal-inference and experimentation questions (DiD, sample-size and posterior/Bayes calculations), applied modeling and feature ranking (logistic regression, normalization), SQL analytics for follower/influence metrics, and algorithmic coding tasks. Machine Learning Engineers see streaming counters, per-client rate extensions, logging telemetry, and real-time recommendation design. Prep by practicing medium-to-hard coding problems, system-design sketches, A/B testing math, end-to-end SQL + Python analytics, and concise STAR stories.

"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."
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...
Find most frequent call stack from logs
Given an array of log entries for a single-threaded program's function calls, each entry is either '->Name' (function entry) or '<-Name' (function exi...
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...
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 ...
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 (...
Optimize assembly-line scheduling with changeovers
You are scheduling a simplified car-assembly line with two parallel stations S1 and S2. Each job must be processed on exactly one station, processing ...
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...
Fit logistic regression and return top features
You are given: - X: a 2D numeric array where each row is a feature and each column is an observation (shape: n_features x n_samples). - feature_names:...
Design robot path boundedness with repeats
You are given a 2D grid with a set of blocked cells (obstacles) and a robot starting at (0, 0) facing north. The robot executes a finite instruction s...
Design a Scalable Like Counter
Design a large-scale service that stores and serves like counts for content items. Requirements: - Users can like and unlike an item. - Product pages ...
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 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...
Implement recent-requests counter
You are designing an in-memory component for a web service that needs to track how many requests ("hits") it has received in the last 5 minutes. Imple...
Compute A/B test sample size and Bayes posterior
You are working through two short, self-contained statistics tasks that appear together in an online assessment for a Data Scientist role. The tasks a...
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...
Design a real-time favorites service at scale
Design: Real-Time Favorites/Unfavorites Service at High Scale Context Design a backend service that lets users favorite/unfavorite items (e.g., posts,...
Implement Sliding-Window Rate Limiter
You are asked to build an in-memory rate limiter for an API service. For each user_id, allow at most limit requests during any rolling window of windo...
Design in-game payment wallet system
Design in-game payment wallet system System Design: In‑Game Currency Transfers and Analytics Context You are designing the in‑game currency subsystem ...
Can the character reach the destination?
You control a character starting at a start cell and want to reach a target cell in a 2D grid. Some cells are blocked by obstacles and cannot be enter...
Explain an ML project end-to-end with tradeoffs
Pick one of your production ML projects and walk through it end-to-end. Be specific: 1) Problem framing (prediction vs causal decisioning), target def...