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."
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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."
Measure fake-news interventions under network interference
Experiment Design Under Interference: Warning Label for Suspected Fake-News Reshares Context You are testing a pre-reshare warning label for links sus...
Solve array merge, tree view, and maze tasks
This question evaluates array manipulation and in-place algorithms, binary tree traversal and visibility reasoning, and grid graph traversal for path ...
Design recommendation and weapon-ad detection systems
This question evaluates proficiency in end-to-end ML system design, covering scalable recommendation systems and safety-focused ad classification with...
Share different perspective from leadership feedback
Describe a time when you received feedback from a manager or senior leader that gave you a different perspective on a situation or project. Explain: -...
Hyperlink Request Flow at Facebook
End-to-End Flow: Clicking a Hyperlink in a Facebook Feature Walk through what happens end to end when a signed-in user clicks a hyperlink inside a Fac...
Analyze Multiple-Account Users in SQL
This question evaluates a data scientist's ability to perform SQL-level user- and account-level aggregation, grouping, and NULL-aware filtering to com...
Solve four algorithmic problems
Solve the following coding tasks. For each, describe your approach, complexity, and handle edge cases. 1) Make parentheses string valid with minimal d...
Extend a Maze Solver
This question evaluates proficiency in implementing and debugging graph search algorithms and state-space modeling, including correct visited-state ha...
Design an ad recommendation ranking approach
This question evaluates competency in machine-learning driven ad ranking and recommendation systems, including objective formulation, modeling strateg...
Define engagement metrics and analyze comment distribution
You are a Data Scientist for a video platform. A PM asks you to: 1) Define metrics for “engagement” (they want a clear metric framework they can use i...
Design an online coding contest platform
This question evaluates a candidate's ability to design scalable, reliable, and secure distributed systems for real-time, event-driven workloads, cove...
How would you grow key product metrics?
This question evaluates product growth analytics and experimentation skills, including metric definition, funnel analysis, segmentation, hypothesis ge...
Find longest palindromic substring
This question evaluates knowledge of string algorithms and pattern recognition, focusing on identifying palindromic substrings and reasoning about tim...
Describe conflict resolution and leadership
In a senior software engineering phone screen, you may be asked several behavioral questions around collaboration, conflict management, and leadership...
Define and Measure Effective Read on Newsfeed
Define and Measure Effective Read on Newsfeed Designing an "Effective Read" Metric for a Newsfeed Scenario You are tasked with defining and measuring ...
Design Machine Learning Model for Facebook Groups Post Ranking
Design Machine Learning Model for Facebook Groups Post Ranking ML System Design: Ranking Facebook Groups Posts in News Feed Scenario You are designing...
Explain Statistical Concepts in A/B Testing and Corrections
Explain Statistical Concepts in A/B Testing and Corrections A/B Testing: p-values, Power, and Error Rates with Multiple Comparisons Context You are re...
Evaluate Marketing Campaign's Click-Through Rate Effectiveness
Evaluate Marketing Campaign's Click-Through Rate Effectiveness Scenario A campaign currently shows a click-through rate (CTR) of 4.2%. Leadership asks...
Evaluate Impact of Increasing Stranger Content in Feeds
Evaluate Impact of Increasing Stranger Content in Feeds Feed-Ranking Strategy: Friends vs. Stranger Content Background A personalized feed currently m...
Evaluate Fake-Account Classifier with Precision and Recall Metrics
Evaluate Fake-Account Classifier with Precision and Recall Metrics Evaluating a Fake-Account Classifier in Production Scenario You have trained a mode...