Meta Interview Questions
Practice 1,171 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."
Define success metrics for a social feed
Define Success Metrics for a Social Feed Feature You are evaluating a change to the main social feed in a large-scale consumer app. Assume events are ...
Demonstrate communication and teamwork
Behavioral and Communication Interview (Software Engineer Onsite) Context: You are a software engineering candidate. Answer concisely using STAR (Situ...
Reverse between equal-value nodes in list
Given the head of a singly linked list and a target value v, locate the first two nodes whose values equal v (call them A and B, with A before B) and ...
Build a Mistral-powered RAG agent
Build a Minimal RAG Tool Using the Mistral API Context You have an API token and need to implement a small retrieval-augmented generation (RAG) tool i...
Design a scalable MoE pretraining pipeline
Design a Large-Scale MoE Pretraining Pipeline (Bilingual LLM, 1T Tokens, 256×A100-80GB) Context You are designing a pretraining pipeline for a decoder...
Demonstrate leadership and ensure data compliance
Behavioral & Leadership: Leading Through Reorg While Shipping ML + Ensuring Data Compliance Context You are the ML lead during a reorganization that r...
Detect cycles and order with DFS
You are given a directed graph of package dependencies represented as an adjacency list: Map<String, List<String>> deps where deps[p] lists packages t...
Design a bank system with transfers
Single-Process BankSystem: APIs, Data Model, Algorithms, and Edge Cases Context and Assumptions You are asked to design and implement a single-process...
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...
Derive max distinct frequencies for n items
Maximum Number of Distinct Frequency Counts in an Array Context You are given an array of length n ≥ 1 whose elements are arbitrary integers (values m...
Design a basic bank system API
In-Memory Bank System: API, Data Model, Invariants, Semantics, and Edge Cases Goal Design and implement an in-memory bank system that supports account...
Solve peak element and unique word abbreviation
You are given two independent coding problems to solve. 1) Peak element in an array (binary search) - Input: an integer array nums of length n >= 1. -...
Visualize Netflix metric trends
Visualizing a Streaming Metric for Netflix Prompt Choose one streaming metric (for example, Daily Active Viewers or Average Watch Duration) and descri...
Overcome Challenges and Build Trust in Teamwork
Behavioral Interview: Teamwork, Feedback, Trust, and Conflict (Data Scientist) Context You are interviewing for a Data Scientist role in a behavioral ...
Influence Stakeholders Without Authority in Data Roles
Behavioral Interview (Onsite) — Data Scientist at Meta Context You are preparing for an onsite behavioral and leadership interview for a Data Scientis...
Analyze View Distribution and Recommendation Overlap in Videos
Short-Video Platform: View Distribution and Recommendation Overlap Context You are analyzing a short-video platform. You have: - A dataset of per-vide...
Determine Probability of Fourth Good Response After Three Successes
Evaluating Good-Response Rates for Chatbot Outputs Context You are evaluating chatbot/LLM responses. Treat each response as a Bernoulli trial (good vs...
Identify Fake Accounts Using Machine Learning Techniques
Detecting Fake Accounts on a Social Network Context You are a data scientist at a large social platform. The goal is to detect and mitigate fake or ab...
Explain Type I vs. Type II Errors in A/B Testing
A/B Testing Errors and Estimation Under Skewed Metrics Context You are analyzing an A/B experiment for a product feature. You need to explain the stat...
Calculate Posterior Fraud Probability Using Bayes' Theorem
Posterior Fraud Probability After a Flag Context You operate a fraud detection system that flags accounts as suspicious. Define: - F: account is fraud...