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.
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"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."
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"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."
Calculate Expected Impressions and Probability for Users
Random Allocation of Y Ad Impressions to X Users Setup (assumptions) - There are X distinct users and Y ad impressions. - Each impression is assigned ...
Expected meetings in Room 1 after random assignment
Randomly Assigned Meetings Across Rooms (Balls-in-Bins) Setup - There are N rooms and k meetings. - Each meeting independently chooses a room uniforml...
Identify Top 10 Users by Average Call Duration
video_calls | call_id | user_id | start_time | end_time | |---------|---------|----------------------|----------------------| | ...
Evaluate Social Media's Brand Advertising Effectiveness
Measuring Brand Advertising Effectiveness on Social Media Scenario A retailer runs both direct-response (DR; optimized for immediate conversions) and ...
Calculate Posterior Probability of Flagged User Being Bad Actor
Bayesian inference for abuse detection with error control Setup A platform runs a binary classifier that flags users who might be bad actors. Let: - p...
Resolve Conflicts and Clarify Goals in Data Projects
Behavioral Interview Prompts for Data Roles Scenario You are interviewing onsite for a data-focused role. The interviewer is assessing collaboration, ...
Design SQL Query for Shop Visibility and User Activity Metrics
SHOP_VISIBILITY +----------+---------+------------+------------+-------------+--------------+ | user_id | shop_id | event_date | is_visible | signup_...
Determine Posterior Probability of Bad User Prediction
Evaluating a Classifier That Flags Bad Actors Question You are evaluating a binary classifier for detecting bad actors among users. Given: - Prevalenc...
Describe Handling Cross-Functional Projects and Changing Priorities
Behavioral & Leadership: Cross-Functional Impact, Feedback, Conflict, Reprioritization Context: You are interviewing for a Data Scientist role. The in...
Leverage Data Sources for Effective Push Notification Strategy
Scenario A product team wants to improve the quality and impact of mobile push notifications for a consumer app. Assume you have access to event loggi...
How to Validate Friends' Content Engagement Hypothesis?
Scenario A product team at Meta wants to understand whether content from a viewer's friends (connected authors) drives more 'social' engagement than c...
Posterior probability given model accuracy
Security Classification: Posterior Probability When Flagged Context You are evaluating a binary classifier that flags potentially bad users. Assume: -...
Identify User Interest in Group Video Calls Using Data
Group Video-Calling Feature Analysis Context You are asked to design, launch, and analyze a new group video-calling feature for a large social/messagi...
Evaluate a new-listing notification feature
A marketplace team is considering a new buyer notification feature that alerts users when newly created listings matching their interests become avail...
Design an online chess game with undo and leaderboard
Scenario Design a real-time online chess game service. Core requirements - Users can challenge friends and start a game session. - Two players take tu...
Google–Roomba Acquisition Strategy
Case Prompt: Should Google Acquire Roomba (iRobot)? Context Assume you are evaluating whether Google should acquire iRobot, the maker of Roomba roboti...
Count subarrays equal to target
Given an integer array nums and an integer k, return the number of contiguous subarrays whose sum equals k. Provide an algorithm better than O(n^ 2), ...
Traverse binary tree by levels with constraints
Given a binary tree and a predicate P(node), perform a level-by-level traversal that collects, for each level, only the nodes whose values satisfy P. ...
Navigate unknown grid to locate target
You control a mouse in an unknown 2D maze. You do not know the maze dimensions or your absolute coordinates. The interface exposes move() → bool (atte...
Clone list with random pointers
Question You are given the head of a singly linked list where each node has two pointers: next and random. The random pointer may be null or point to ...