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."
Design a Scalable Post, Feed, and Search Service
Design a Scalable Post, Feed, and Search Service Design a social-post service with three core capabilities: a user can publish a text post, retrieve a...
Write queries for follows and bookings
This question evaluates the ability to manipulate temporal event logs, enforce bidirectional relational integrity, and implement efficient graph and i...
Answer DE behavioral and ramp-up questions
Answer the following behavioral questions for a Data Engineer (or data-focused full-stack) role. Provide specific examples. 1. Project under a tight d...
Explain How Your Analytics Work Shapes Product Strategy
Prompt You are speaking with a recruiter for a senior product-growth analytics role. Answer: “What do you do in your current role?” The recruiter is t...
Design a ticket or hotel reservation system
Design a reservation system (Ticketmaster-style event seats or hotel rooms). Requirements: - Users search availability by date/event. - Users select s...
Design an ad click aggregation service
Design a backend service that ingests ad impression and click events and provides aggregated metrics. Requirements: - Ingest a high-volume stream of e...
Design real-time live comments
Design a real-time comment system for live video (e.g., Facebook Live comments). Requirements: - Viewers post comments; all viewers see new comments q...
Design an ad recommendation and ranking system
You are building an ad recommendation/ranking system for a content feed (e.g., short-form videos). At each feed position, you may show either an organ...
Extend a Maze Solver
You are given an existing codebase for a maze game and solver. The maze is represented as a 2D grid containing: - S: start cell - T: target cell - .: ...
Analyze Product Growth Cases
This question evaluates product analytics and experimentation competencies for a Product Analyst role, including metric definition, funnel decompositi...
Design video-ads experiment and handle null results
You are launching a new video-ad format. Design an end-to-end A/B test to evaluate it against the current ad format. Be precise: 1) Define exposure an...
Analyze daily comments distribution and sampling
Daily Comments per Active User: Sampling and Inference You have, for a given day d, the count of comments made by each active user. Let there be m act...
Walk through a resume deep dive
Behavioral Deep Dive: Most Impactful Infrastructure Project Context You are interviewing for a Software Engineer role. The interviewer will ask you to...
Design a Trade Ledger Class
This question evaluates the ability to design class interfaces, choose and justify data structures for ordered storage, and reason about sorting behav...
Evaluate WhatsApp Group Video Calling
Meta is considering improvements to WhatsApp group video calling. The product team wants to understand whether users need this feature, how to increas...
Handle feedback, change pivots, and conflict
Question In the behavioral portion of the Meta Data Scientist screen, answer the following leadership prompts using concrete examples from your own wo...
Solve Two String Problems
The interview included two coding questions: 1. Exactly one edit apart Given two strings s and t, determine whether they are exactly one edit apart...
Explain key ML metrics and techniques
You are asked a set of short conceptual machine learning questions. 1. Confusion matrix and metrics For a binary classification problem: - Def...
Troubleshoot a single-node web outage
This question evaluates operational troubleshooting, root-cause analysis, and resilience design skills for a single-node web server, testing a candida...
Describe a high-impact product project
In a conversation with a Head of Product, you are asked to discuss one project in depth. Describe a product or marketplace project where you had meani...