Meta Behavioral & Leadership Interview Questions
Practice 1,129 real Meta interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions. Expect a software-engineering-heavy loop: timed algorithmic coding (trees, arrays, graph/maze problems, delimiter/CSV parsing), system-design prompts like leaderboards, flight search and online-judge architectures, and an increasingly common AI-assisted coding round that mirrors real workflows. Data Scientist rounds emphasize product analytics and experimentation—designing tests, diagnosing spend drops and bots, evaluating unconnected content, and writing SQL for multi-account, seller, and vehicle metrics. Machine Learning Engineer questions skew toward recommender and ranking work (place and friend recommendation, sparse-matrix ops, linear-regression derivations, newsfeed dislike models). Data Engineers focus on data modeling, ETL, capacity calculations, reservations/utilization queries, and production SQL/Python tasks. For interview preparation, prioritize timed coding practice, system-design templates, rigorous SQL drills (joins/CTEs/aggregation), clear A/B-testing frameworks, and concise STAR behavioral stories tied to measurable impact.

"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."
How to design Shop ad ranking
Suppose the experiment suggests that increasing exposure for Shop ads may be beneficial. The interviewer then asks how you would design the ranking al...
Design a Dropbox-like file storage and sync service
Question Design a cloud file storage and synchronization service like Dropbox / Google Drive. The system should let users store files and folders, kee...
Calculate Ad Insertion Statistics for Two Methods
Scenario Evaluating two ad-insertion strategies in a 100-post feed. - Option A (independent placement): Each post independently becomes an ad with pro...
Design Experiment to Evaluate New Video-Ad Effectiveness
Experiment Design: Measuring the Impact of a New Video‑Ad Format Context You are designing an experiment for a large consumer app that runs an ad auct...
Evaluate Factors Before Replacing Recommendation Model
Ads Model Replacement: Evaluation, Trade-offs, Experimentation, and Executive Readout Scenario A large ads platform has built a new recommendation/ran...
Determine Success Metrics for New Group Video-Call Feature
Scenario Meta is exploring a new group video-call feature. Questions 1. Beyond the provided tables/logs, what additional data sources or surveys would...
Track Success and Guardrail Metrics for Push Notifications
Push-Notification Metrics and Network-Aware Experiment Design Scenario You are designing and evaluating a new push-notification feature for a TripAdvi...
Determine Group Call Feature Need and Evaluation Methods
Scenario You are evaluating whether to build and launch a Group Call feature in a consumer communication app. You currently have access to a single “u...
Product Metrics & Debugging Scenarios
Product / Decision-Making Onsite Prompts Context: You're a PM candidate evaluating data, metrics, and operational plans for large-scale, consumer prod...
Dog-Walking Marketplace & Architecture
Design a Dog‑Walking Marketplace App Context You are designing a two‑sided marketplace that connects dog owners who need walks with vetted dog walkers...
Design ticketing and coding practice platforms
You are asked two separate system design questions. --- 1. Design an online event ticketing platform (like Ticketmaster) Design a large-scale web serv...
Find Words Containing Other Words
Given a list of lowercase strings, return all words that contain at least one other distinct word from the same list as a contiguous substring. Exampl...
Design bot detection and evaluate trade-offs
Bot-Detection System Design for Comment Activity Context You are designing and evaluating a machine learning system to detect automated (bot) comment ...
Build a model to infer home vs office vs public
You must infer whether a Facebook session’s network context is home, office, or public venue to inform Portal targeting. Constraints: IPs may be share...
Compute sample size and test duration
You will run a two-arm A/B test on a signup funnel. Given: baseline conversion p0 = 4.0%; you care about detecting a 10% relative uplift (p1 = 4.4%); ...
Run a clean A/B test for recommendations
You must run an A/B test to evaluate the new hashtag recommender starting on 2025‑09‑01. 1) Define the randomization unit (user/session/impression) an...
Write dating profile report with final reviews
Today is 2025-09-01. You need a daily dating-profile quality and engagement report that only includes profiles whose latest version has a final approv...
Model comment count distribution and validate assumptions
You observe daily comment counts per post on a large social app are highly skewed with many zeros. a) Choose an appropriate discrete model among Poiss...
Identify trees, lists, and array search costs
Answer all parts concisely and justify time complexities. a) A data model requires each node to have at most two children and a single parent. Name th...
Write SQL filtering, grouping, CASE, UNION tasks
Use the following schema and sample data to answer all parts. Assume standard ANSI SQL and that amounts are DECIMAL. Table: orders +----------+-------...