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."
Solve binary tree, grid, and heap tasks
Solve binary tree, grid, and heap tasks Answer the following independent coding tasks: 1) Range sum in a BST: Given the root of a binary search tree a...
Copy linked list with random pointers efficiently
Copy linked list with random pointers efficiently Given the head of a singly linked list where each node has next and random pointers, create a deep c...
Merge two sorted arrays in-place
Merge two sorted arrays in-place You are given two sorted integer arrays nums1 and nums2, both sorted in non-decreasing order. - nums1 has length m + ...
Maximize number with one digit swap
Maximize number with one digit swap Given a non-negative integer n (as an int or string), perform at most one swap of two digits to produce the maximu...
Validate word abbreviation and reconcile two abbreviations
Validate word abbreviation and reconcile two abbreviations Implement a function isValidAbbreviation(word: string, abbr: string) that returns true if a...
Annotating and forecasting a long‑tail distribution
Annotating and Forecasting a Long-tail Distribution You are analyzing daily share counts across many pages on a social platform. The cross-sectional d...
Probability a negative review came from a lazy reviewer
Bayesian Posterior: Negative Review and Lazy Reviewer Reviewer types in the population: - Lazy reviewers are 20% of reviewers and never leave negative...
Expected meetings in Room 1 after random assignment
Expected Meetings in Room 1 Conditional on Being Non-empty There are N rooms and k meetings. Each meeting independently chooses a room uniformly at ra...
Analyzing abuse in the content‑reporting system
Measuring Valid Reports and Detecting Abuse in a Reporting System Analyze a user reporting system over a 30-day window. The schema is: reports(report_...
Advertising for local businesses boosting popular posts
Boosting Popular Posts for Local SMBs You are evaluating an experiment where small local businesses can pay to boost their popular organic posts. Defi...
Building a restaurant‑recommendation feature with Nearby Friends signals
Real-time Nearby Eateries Recommendation Meta wants to leverage real-time, opt-in location from Nearby Friends to recommend nearby eateries users migh...
Diagnosing a drop in total ads revenue
Diagnosing a Sharp Drop in Global Ads Revenue You are a data scientist supporting a large ads marketplace. Last week, global ads revenue declined shar...
Measuring and mitigating fake news on Facebook
Measuring and Mitigating Fake News Under Reviewer Constraints Policy teams need an overnight view of fake-news prevalence on the platform, but only a ...
Impact of parents joining Facebook on teen engagement
Parental Presence and Teen Engagement on Facebook Facebook's teen audience overlaps increasingly with parents, who may friend their children, comment ...
Analyze Hashtag Follow Behavior with SQL Queries
following_behavior +------------+---------+-----------+---------------+ | date | user_id | hashtag_id| hashtag_source| +------------+---------+-...
Design Experiment to Test New Hashtag Recommender Algorithm
Experiment Design: Testing a New Hashtag Recommender A social app shows hashtag recommendations to users while they compose posts. A new algorithm is ...
Determine Features for Effective Hashtag Recommendations
Hashtag Recommendation System Design You are designing a hashtag recommendation system for a social-media platform. Given a user composing post conten...
Resolve Conflict and Communicate Effectively in the Workplace
Behavioral Interview: Conflict, Skepticism, and Impact You are interviewing onsite for a Data Scientist role. The interviewer is assessing collaborati...
Evaluate Facebook's Restaurant Recommendations Feature Effectiveness
Experiment Design: Restaurant Recommendations in Facebook News Feed Facebook is considering restaurant recommendation units inside News Feed, such as ...
Calculate Weekly Thread Engagement with Reactions in SQL
messages +------------+--------+----------+--------------+---------------------+ | message_id | sender | receiver | has_reaction | timestamp ...