Meta Behavioral & Leadership 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."
Define metrics and data model for product features
This question evaluates a candidate's product sense and data engineering competency, including defining core success metrics, designing dashboard visu...
Design an On-Demand Delivery Platform
Design an on-demand local delivery marketplace for restaurants or grocery stores. The platform should support customers browsing merchants, building s...
Select words to maximize unique characters
Problem You are given an array of strings words. You may choose any subset of these strings and concatenate the chosen strings in any order. Your goal...
Solve Three Coding Interview Problems
The interview included three coding tasks: 1. Common ancestor in an N-ary tree You are given the root of an N-ary tree and two target nodes. Dete...
Design a Code Review Agent
Design an AI-powered code review agent that assists developers by reviewing pull requests and producing actionable feedback. The agent should be able ...
Prepare Leadership And Collaboration Stories
Prepare concise behavioral interview answers for the following prompts. Use specific examples from your own experience, quantify impact where possible...
Design a distributed job scheduler
Question Design a distributed job scheduler that can run background jobs at specific times or on recurring schedules (similar to cron but scalable and...
Compare Shop and Web Ad Performance Without Overclaiming
Compare Shop and Web Ad Performance Without Overclaiming You have 28 days of daily ad data: `text ads_detail(advertiser_id, ad_id, ad_type, ad_objecti...
How would you evaluate stolen-post detection?
You are interviewing for a Meta DSA (product analytics / data science) role. The product team is launching a new Stolen Post Detection algorithm that ...
Design a Short-Video Recommendation System
This question evaluates competency in designing large-scale short-video recommendation systems, including machine learning model selection, candidate ...
Design experiments and diagnose metric changes
You are a Product/Data Scientist at a food-delivery marketplace (customers, dashers/couriers, merchants). Answer the following product analytics & exp...
Troubleshoot a Midnight Web Server Outage
This question evaluates a candidate's incident response, systems debugging, and root-cause analysis skills, focusing on log-driven investigation, Linu...
Validate Sorted Order Under a Custom Alphabet
This question evaluates a candidate's ability to apply custom ordering rules and string comparison logic, a common variant of array and string validat...
Discuss Projects, Failures, and Growth
Prepare structured answers for the following behavioral prompts from an interview: - Describe the project you are most proud of. - What was the hardes...
Derive Linear Regression Solution
This question evaluates understanding of one-dimensional linear regression estimation, the statistical derivation of the mean squared error objective ...
Implement four coding challenges
You are asked to solve the following four independent coding problems. --- 1) Block Placement Simulator (Tetris-like) You have an empty n x m grid (ro...
Design a location-based radius top-K search
Design a location-based search service. Input: - latitude, longitude - radius (meters) - K Output: - The top K locations within the radius. The term “...
Solve Tree Diameter and Palindromic Counts
This two-problem prompt evaluates proficiency in tree algorithms and recursion for computing longest paths in binary trees, along with string processi...
Solve Tree Columns And Maze Variants
This question evaluates tree traversal and column-based grouping skills along with grid-based graph search, state modeling, and handling dynamic maze ...
Prevent Private Code Leakage in Coding Agents
This question evaluates competency in ML system design, data privacy and security, model training and inference safeguards, and mechanisms for detecti...