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."

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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."
Design an experiment to evaluate a new ads algorithm
You are a Product Analytics/Data Science partner for an ads ranking/recommendation team. Facebook has shipped (or plans to ship) a new ad recommendati...
Compute SHOP spend share and model performance
You work on ads measurement. Advertisers can drive users to either Facebook Shop ('SHOP') or their own website ('WEBSITE'). After an ad is shown, you ...
Validate parentheses and find k-th largest
This pair of problems evaluates mastery of fundamental data structures and algorithmic techniques: Problem A tests understanding of stack-based parsin...
Answer four array/time/grid query questions
This set of four problems evaluates array manipulation and comparison, time parsing and minute-difference calculation, linear path enumeration with ex...
Add two binary strings
This question evaluates proficiency with binary arithmetic and string manipulation, focusing on carry propagation and handling of very long inputs wit...
Design a product notifications system
System Design: Push Notifications and In‑App Messaging Platform Context Design a notifications platform for a large consumer mobile app with millions ...
Design a ticketing purchase system
System Design: High-Concurrency Ticket Purchasing With Seat Maps You are asked to design an end-to-end ticketing system for large on-sale events (e.g....
Solve tree traversal and interval merging tasks
Part A — Column-wise Binary Tree Grouping: You are given the root of a binary tree. Group nodes by vertical column index, where the root has column 0,...
Discuss conflicts, proudest project, and departure reasons
Behavioral & Leadership Questions — Machine Learning Engineer (Technical Screen) Answer the following prompts concisely, using concrete examples from ...
Design ad click tracking and dashboard at scale
This question evaluates a candidate's skills in designing large-scale distributed systems including real-time data ingestion and aggregation, storage ...
Implement held transfers with accept/cancel
Implement held transfers with accept/cancel Design and implement a two-phase ("pull-style") money-transfer system in which funds are first held on the...
Maximize Letters from Disjoint Words
This question evaluates understanding of combinatorial selection, set-based constraints, and efficient representation and enumeration of candidate sub...
Check near-palindrome with one deletion
Check near-palindrome with one deletion Given a string s, determine whether it can become a palindrome after deleting at most one character. Return bo...
[Analytical Reasoning] Comparing Two Newsfeed Ad Insertion Methods
Compare two ad-insertion methods for a 100-post newsfeed. Both methods have the same average ad load. - Method A: each post is independently replaced ...
Describe something you did to be inclusive
Describe something you did to be inclusive Behavioral: Inclusiveness Tell me about a time you did something to make your team or workplace more inclus...
Design metrics to detect harmful content and fraud
This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a rea...
Visualize Netflix metric trends
Visualize Netflix metric trends Visualizing a Streaming Metric for Netflix Prompt Choose one streaming metric (for example, Daily Active Viewers or Av...
Validate carpool capacity
Question LeetCode 1094. Car Pooling – Given trips[i] = [numPassengers, start, end] and an integer capacity, return true if the vehicle can fulfill all...
Solve linked-list and top-K algorithm tasks
Question Given a singly linked list, return the k-th node counted from the end. Given an integer array, return the top k most frequent numbers. Given ...
Determine High-Quality Notifications with CTR Analysis
Determine High-Quality Notifications with CTR Analysis Push Notification Quality: Metric, Baseline Assessment, and Experiment Design Background A mobi...