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."
Define success metrics for a social feed
Define Success Metrics for a Social Feed Feature You are evaluating a change to the main social feed in a large-scale consumer app. Assume events are ...
Design scalable media storage and delivery
System Design: Global UGC Photos and Short Videos Store/Delivery Context Design a globally distributed system to store and deliver user-generated phot...
Design a fitness tracking app
This question evaluates a candidate's competency in designing end-to-end backend architectures, specifying core APIs, modeling workout and geospatial ...
Solve array, tree, and maze problems
This question evaluates algorithmic problem-solving across arrays, binary trees, and grid pathfinding, testing competencies in array traversal and vis...
Describe a high-impact product project
In a conversation with a Head of Product, you are asked to discuss one project in depth. Describe a product or marketplace project where you had meani...
Design concurrent expiring job registry
This question evaluates understanding of concurrent data structures, synchronization primitives, time-based expiration semantics, and efficient cleanu...
Build harmful-content text classifier
This question evaluates a candidate's competence in designing an end-to-end machine learning pipeline for binary text classification, covering data un...
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...
Compute High-Call Usage Rates
You are given two tables for a voice-calling product: users - user_id BIGINT - country_code STRING calls - call_id BIGINT - caller_id BIGINT - recipie...
Design a Scalable Post, Feed, and Search Service
Design a Scalable Post, Feed, and Search Service Design a social-post service with three core capabilities: a user can publish a text post, retrieve a...
Evaluate AI-assisted ad creation
This question evaluates a candidate's competence in product analytics, causal inference, experimentation design, metric definition, and monitoring for...
Guide a mouse to find cheese with APIs
This question evaluates the ability to reason about graph exploration and stateful API interaction in an unknown 2D grid, assessing competencies in se...
Solve Merge Lists and Vertical Traversal
This question evaluates proficiency with merging sorted linked lists and performing vertical traversal of binary trees, focusing on algorithms, data s...
What features and feature selection would you use?
Context You are building an ML system to rank/promote shop ads in an e-commerce feed/search page. At serving time, the system may score candidate shop...
Solve Tree Views, Columns, and Calculator
This multi-part question evaluates skills in binary tree traversal and view extraction, vertical column grouping and ordering of tree nodes, and parsi...
Group a tree by vertical columns
Group a tree by vertical columns Given the root of a binary tree, produce a vertical listing of nodes: assign each node an x-coordinate (root at x=0; ...
Design an online auction system
Design an online auction system System Design: Real-Time Online Auction Platform You are asked to design an online auction system that supports real-t...
Design an online chess platform
Design an online chess platform. Requirements: - User matchmaking (ranked/unranked). - Real-time gameplay with low latency moves. - Enforce game rules...
Design a YouTube/Netflix video platform
Design a video platform similar to YouTube/Netflix. Requirements: - Upload videos (for YouTube-like) and/or ingest catalog (for Netflix-like). - Trans...
Design a chat messaging system
Design a chat system similar to WhatsApp/Messenger. Requirements: - 1:1 and group chats. - Send/receive messages in real time when online; store-and-f...