Meta Interview Questions
Practice 1,159 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."
Discuss conflicts, deadlines, and persuasion
Discuss conflicts, deadlines, and persuasion Behavioral and Leadership Prompts for a Data Engineer (Onsite) Context: You are interviewing for a Data E...
Implement, Debug, and Optimize a React Table
Implement, Debug, and Optimize a React Table React Table Component — Design, Implementation, and Performance Context: You are building a reusable Reac...
Compute sliding-window medians
Given an array nums and an integer k, compute the median for each contiguous subarray (window) of length k and return the sequence of medians in order...
Implement sliding-window moving average
Design a class MovingAverage that supports a constructor MovingAverage(k) and a method next(val) returning the average of the last k values from a dat...
Design coding platform leaderboard system
Design coding platform leaderboard system System Design: Scalable Coding Platform with Live Global Leaderboard Context Design a coding challenge platf...
Design searchable status & geolocation services
Design searchable status & geolocation services System Design: Searchable Short-Form Status Updates with Nearby Search Context Design a microblogging ...
Handle feedback and priority conflicts
Handle feedback and priority conflicts Behavioral & Leadership Interview (Software Engineer, Onsite) Context: You will be asked to demonstrate ownersh...
Design Ticket Booking Auto Release
Design Ticket Booking Auto Release System Design: Auto-expiring Ticket Reservations Problem Design a ticket-booking system where a reserved ticket aut...
Implement right side view and local minimum search
Question LeetCode 199. Binary Tree Right Side View — Given the root of a binary tree, return the values of the nodes you can see ordered from top to b...
Design an A/B test for non-friend posts
Design an A/B test for non-friend posts evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommen...
Measure whether posts strengthen friendships
Measure whether posts strengthen friendships evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and rec...
Define metrics for high-quality notifications
Define metrics for high-quality notifications Context You are a Data Scientist partnering with a product team at Facebook/Meta that owns push/in-app n...
Compute reply-based user metrics in 7 days
You are analyzing discussions on a social platform. Tables all_post - post_id (BIGINT, PK) - post_author_id (BIGINT, FK → user.user_id) - post_creatio...
Merge overlapping time intervals
Problem You are given a list of closed intervals intervals, where each interval is [start, end] and start <= end. Merge all intervals that overlap and...
Interpreting confidence intervals to choose a treatment
Feed-ranking Tweaks: Interpret Confidence Intervals and Choose a Treatment You ran online experiments for three feed-ranking tweaks. The primary metri...
Expected impressions per user under random assignment
Random Assignment of Ad Impressions Across Users In an A/B experiment, Y ad impressions are served uniformly at random across X distinct users. Each i...
Evaluate the Health of Facebook Groups
Group Health Metrics and Threaded Comments Experiment You are a Data Scientist working on a platform with Groups ranging from small hobby clubs to ver...
Measuring and mitigating fake news on Facebook
Measuring and Mitigating Fake News Under Reviewer Constraints Policy teams need an overnight view of fake-news prevalence on the platform, but only a ...
Design Experiment to Test New Hashtag Recommender Algorithm
Experiment Design: Testing a New Hashtag Recommender A social app shows hashtag recommendations to users while they compose posts. A new algorithm is ...
Explain Central Limit Theorem's Importance in A/B Testing
Explain the Central Limit Theorem's Importance in A/B Testing This statistics prompt asks you to state the Central Limit Theorem, explain why it matte...