Meta Behavioral & Leadership Interview Questions
Practice 1,166 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."
Describe conflict resolution and mentoring experiences
You are interviewing for an engineering manager or senior engineer role. Prepare structured behavioral answers for these four prompts: 1. Describe a s...
Write SQL for call pickup and usage metrics
This question evaluates proficiency in SQL data manipulation—specifically aggregation, joins, filtering, and safe handling of edge cases—to compute ca...
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform You are a data scientist at a large user-generated-content platform (think a...
Posts and Replies Engagement
Posts and Replies Engagement A content platform stores user-generated posts and the replies that those posts receive. You need to answer two questions...
Compute Sliding Window Averages
This question evaluates proficiency in array manipulation, sliding-window techniques, and algorithmic efficiency including time and space complexity. ...
Write Call Analytics SQL Queries
This question evaluates SQL data manipulation and analytical competencies, including aggregation, joins between user and event tables, time-window fil...
Implement BST Iterator and Ticket Queue
This question evaluates understanding of binary search tree traversal and iterator design with amortized time and space analysis, as well as dynamic p...
Answer core Meta behavioral questions
You are in a behavioral interview for a software engineering role. Answer the following questions with concrete examples from your experience (interns...
How would you evaluate Pixel issue alerts?
Meta is considering a new advertiser-facing ad management feature. When the system detects that an advertiser's Ads Pixel may be misconfigured or send...
Write SQL for Pixel Signal Metrics
You are working on Meta Ads Pixel analytics. Assume all timestamps are stored in UTC, and analyze the last 30 complete calendar days. Tables 1. advert...
Maximize score in 15-sum card game
This question evaluates algorithmic problem-solving in combinatorial search, state-space optimization, and memoization by asking for the maximum achie...
Design coding platform with global leaderboard
This question evaluates proficiency in scalable distributed systems and system design, including real-time ranking algorithms, data modeling, API desi...
Solve word count, node, segmentation, stock tasks
You have four tasks: 1) Count words with explicit rules: Given a text document, return the number of words. First define precisely what qualifies as a...
Implement bounds, minimum, pathfinding, and moving average
Solve the following data-structures problems: ( 1) Given two sorted integer lists A and B, merge them into a single non-decreasing array. Then, for a ...
Compute capacities after site closures
You are given a nested dictionary redistribution where redistribution[closed_site][dest_site] equals the additional capacity required at dest_site if ...
Compute missing letters to form original string
Implement a function that, given two strings original and typed (typed is a misspelled/partial version of original), returns the number of additional ...
Count palindrome substrings in a string
Given a lowercase ASCII string s, count the number of substrings that are palindromes and return the count. Implement an O(n^ 2) solution using expand...
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...
Remove minimum parentheses to balance string
Given a string s containing lowercase letters and the characters '(' and ')', remove the minimum number of parentheses so that the resulting string is...
Merge customers and preserve history
Question Implement mergeCustomers(String oldId, String newId) for a payments/ledger platform. The call absorbs oldId into the survivor newId while pre...