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."
Choose group-call participant cap via distribution
Group Call Cap Decision: QoS vs Reach You are deciding whether to cap the maximum number of participants in a group call. You have the past 28-day dis...
Compute feed ad frequency and retention in SQL
Assume today is 2025-09-01. Schema and tiny samples: feed_impressions(impression_id, user_id, impression_time, content_type, feed_position, session_id...
Design metrics for violating content exposure
Measuring User Exposure to Violating Content on a UGC Platform Context You work on a large-scale user-generated content (UGC) platform that uses autom...
Implement string and basic ML algorithms
You are given three implementation tasks that mix algorithms and basic machine learning models. --- Task 1: Longest substring with all distinct charac...
Design and evaluate a new group call feature
Product / DS Case: Group Calls for Messenger Groups Messenger has Groups but does not currently support group calls. You are evaluating whether to bui...
Evaluate emoji reactions launch
A messaging app plans to introduce an emoji reaction feature: users can long-press a message for 5 seconds and attach an emoji instead of sending a te...
Design an online coding contest platform
This question evaluates a candidate's ability to design scalable, reliable, and secure distributed systems for real-time, event-driven workloads, cove...
Solve maze reachability and two follow-ups
This set of tasks evaluates graph and state-space search with constrained movement (maze rolling ball), tree algorithms and recursion for computing di...
Hyperlink Request Flow at Facebook
End-to-End Flow: Clicking a Hyperlink in a Facebook Feature Walk through what happens end to end when a signed-in user clicks a hyperlink inside a Fac...
Children’s Bookshelf Product Design
Product Design Prompt: Children's Bookshelf Design a primarily physical bookshelf for children to use at home, with optional lightweight digital suppo...
Design an ad recommendation ranking approach
This question evaluates competency in machine-learning driven ad ranking and recommendation systems, including objective formulation, modeling strateg...
Define engagement metrics and analyze comment distribution
You are a Data Scientist for a video platform. A PM asks you to: 1) Define metrics for “engagement” (they want a clear metric framework they can use i...
Describe Tough Project and Tight Deadline
Behavioral Prompt: Challenging Project and Tight Timeline Tell me about your most challenging project. Also describe a time when you had to deliver un...
How would you grow key product metrics?
This question evaluates product growth analytics and experimentation skills, including metric definition, funnel analysis, segmentation, hypothesis ge...
Evaluate impact of short videos in feed
Scenario You work on a social app’s main News Feed. The team wants to introduce a short-form video module ("Reels") into the feed. Prompt 1. How would...
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform You are a data scientist at a large user-generated-content platform (think a...
Design keyword search for social posts
Design a Facebook-like post search feature: - Input: one or more keywords. - Output: all (or top-K) posts that contain the keyword(s). - Assume posts ...
Design a real-time ad impression aggregator
Design an ads impression aggregator service with the following requirements: - The system ingests a high-volume stream of impression events (each even...
Debug and optimize React performance issues
Debug and optimize React performance issues React Debugging and Performance Assessment Background You're reviewing a React single-page application dur...
Solve sliding window and tree BFS
Solve sliding window and tree BFS Solve a typical medium-level sliding-window problem (e.g., longest substring without repeating characters). LeetCode...