Meta Interview Questions
Practice 1,129 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."
Answer common behavioral prompts
You are asked several behavioral questions. Answer each with a concrete example from your experience (use STAR: Situation, Task, Action, Result), and ...
Answer core behavioral questions using STAR
Prepare structured answers (use STAR: Situation, Task, Action, Result) for the following common behavioral prompts: 1. Most proud project: Describe a ...
Implement weighted random city and sparse dot product
Question 1: Weighted random city picker You are given a mapping from city → population (all populations are positive integers). Implement a random gen...
Find Words Containing Other Words
Given a list of lowercase strings, return all words that contain at least one other distinct word from the same list as a contiguous substring. Exampl...
Determine if users need a new feature
Scenario You are a Data Scientist supporting a consumer product team considering launching a new feature (e.g., a new group-calling/chat feature). You...
Handle last-minute track change
Behavioral Question: Switching Tracks Mid-Interview Loop You are midway through a software engineering onsite when the interview focus changes (e.g., ...
Implement sparse vector dot product
Question Design a SparseVector class for vectors of integers in which most entries are zero, and support an efficient dot product between two such vec...
Find the kth largest element
Given an unsorted array of n integers and an integer k (1 ≤ k ≤ n), return the k-th largest element without fully sorting the array. Design two method...
Implement in-place duplicate removal
Given a non-decreasing array of integers, overwrite it in-place so that each distinct value appears exactly once while preserving the order of the uni...
Remove runs of length at least k
Given a string s and an integer k (k >= 2), repeatedly remove every maximal contiguous group of the same character whose length is at least k, deletin...
Describe an ambiguous project you handled
Describe a time when you worked on a project with a lot of ambiguity (unclear requirements, unknown constraints, or shifting priorities). Explain: - W...
Describe a failed project and lessons learned
Describe a project you worked on that ultimately failed or did not meet its goals. Explain: - What the project was trying to achieve and your role. - ...
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...
Validate carpool capacity
Question LeetCode 1094. Car Pooling – Given trips[i] = [numPassengers, start, end] and an integer capacity, return true if the vehicle can fulfill all...
Pivot Projects Quickly and Foster Team Inclusion
Meta Data Scientist Onsite — Behavioral & Leadership (STAR) Scenario You’ve joined a cross‑functional team where timely pivots and team dynamics are c...
Identify Metrics to Detect Fake-Account Activity on Facebook
Detecting and Measuring Fake Accounts Scenario Facebook wants to understand and curb fake-account activity both over the past month and at sign-up tim...
Determine Key Metrics and Design A/B Test for Ad Ranking
Experiment Design: Replacing Rule-Based Ad Ranking with a Recommender Context You are launching a new machine-learning–based ad ranking system to repl...
Convince Leadership to Launch Group Chat Feature
Evaluating a Group Chat / Group Video-Call Feature for Instagram Context You are a Data Scientist asked to assess whether Instagram should build a mul...
Identify Probability of Request Originating from Bad User
Measuring Abuse in Friend-Requests: Bayes, Identification, and Precision Scenario A social-network platform wants to measure and control abuse. Five p...
Determine High-Quality Notifications with CTR Analysis
Push Notification Quality: Metric, Baseline Assessment, and Experiment Design Background A mobile app uses push notifications to drive user engagement...