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."
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...
Evaluate Social Media's Brand Advertising Effectiveness
Evaluate Social Media's Brand Advertising Effectiveness A retailer runs both direct-response ads and brand-awareness ads. Leadership suspects social-m...
Build Trust Quickly with New Team Stakeholders
Build Trust Quickly with New Team Stakeholders This behavioral prompt assesses cross-functional collaboration for a data scientist role. The interview...
Evaluate Factors Before Replacing Recommendation Model
Evaluate Factors Before Replacing a Recommendation Model A large ads platform has built a new recommendation or ranking model and plans to deprecate t...
Model Unique Recipients with Poisson Distribution and Test Fit
Model Unique Recipients with a Count Distribution and Test Fit You need to model the distribution of the number of unique recipients each caller conta...
Investigate Reasons for Higher Instagram Story Consumption
Investigate Reasons for Higher Instagram Story Consumption You observe that Stories are consumed more on Instagram than on Facebook. Assume Story cons...
Evaluate Success Metrics for Facebook Groups and New Features
Evaluate Success Metrics for Facebook Groups and New Features You are evaluating Facebook Groups and a possible new local feature called Circle, a lig...
Determine Success Metrics for New Group Video-Call Feature
Determine Success Metrics for a New Group Video-Call Feature Meta is exploring a new group video-call feature. You need to estimate demand before laun...
Analyze Data to Boost Group Post Comment Rates
Analytics Plan to Increase Group Post Comment Coverage A social shopping platform wants to increase the percentage of group posts that receive at leas...
Define Metrics and Account for Network and Novelty Effects
Metrics for Notification-Triggered In-App Surveys Meta's notification system triggers optional in-app surveys to measure user sentiment after notifica...
Determine Posterior Probability of Bad User Prediction
Posterior Probability for a Bad-Actor Classifier You are evaluating a binary classifier that flags bad actors among users. Given: - 5% of users are tr...
Design a Restaurant Recommendation System for Food Apps
Design a Restaurant Recommendation System for a Food-Ordering App You are designing an end-to-end recommendation system that suggests restaurants to u...
Program Execution Deep Dive
Program Execution Deep Dive Describe an end-to-end program or product you led as a Product Manager. The interviewer wants to understand how you captur...
Product Metrics & Debugging Scenarios
Product Metrics and Debugging Scenarios You are a PM candidate evaluating data, metrics, and operational plans for large-scale consumer products. Answ...
Meta Pay: Metrics & Prioritization
Product Metrics and Prioritization Prompt: Meta Pay Assume you are the PM for Meta Pay, the consumer payments system used across Meta apps such as Mes...
Apply GenAI to Business Messaging
Product Strategy Prompt: Apply GenAI to Enterprise Business Messaging Explain what generative AI is and how you would apply it to an enterprise busine...
Find longest palindromic substring
This question evaluates knowledge of string algorithms and pattern recognition, focusing on identifying palindromic substrings and reasoning about tim...
Design a time-versioned key-value store and find common free time
You are given two coding tasks. Task 1: Time-versioned key-value store Design an in-memory data structure that supports: - set(key, value, timestamp):...
Design an Instagram-like auction platform
This question evaluates expertise in large-scale system design, including distributed systems, data modeling, real-time messaging, consistency models,...
Implement several string, tree, and BFS problems
This multi-part problem evaluates proficiency with core data structures and algorithms: binary tree traversal with column-aligned output, string parsi...