Meta Analytics & Experimentation Interview Questions
Practice 1,159 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."
Explain a recent project and measured impact
Behavioral & Leadership: High-Impact Project Deep Dive You are interviewing for a software engineering role. Provide a concise, metrics-driven walkthr...
Design a scalable banking system
System Design: Core Banking Platform Problem Design a banking system that supports: - Account creation - Balance inquiry - Deposit and withdrawal - At...
Design tables for event-driven metrics
Design a Relational Schema for Consumer-App Event Analytics Context and Assumptions You are designing the event store for a high-volume consumer app. ...
Design input validation and error handling
Design Task: API, Validation, and Error Handling for a Top-K Frequency Service Context Design a production-grade service that, given an array of eleme...
Design a scalable dimensional model
Design a Dimensional Model for Transactional Analytics (Concrete Example Included) You are building a star-schema in a cloud data warehouse for near r...
Find shortest path and compare BFS vs DFS
Given an unweighted graph (directed or undirected), explain how to find the shortest path between two nodes without writing code. Describe the algorit...
Design a bank system with transfers
Single-Process BankSystem: APIs, Data Model, Algorithms, and Edge Cases Context and Assumptions You are asked to design and implement a single-process...
Derive max distinct frequencies for n items
Maximum Number of Distinct Frequency Counts in an Array Context You are given an array of length n ≥ 1 whose elements are arbitrary integers (values m...
Design an online auction platform
System Design: Real-Time English Auction Platform Goal Design an online auction platform that supports English-style auctions with: - Reserve price - ...
Implement a Streaming VMStat Alert
This question evaluates streaming data processing skills, sliding-window counting algorithms, and efficient online state management for metric monitor...
Design a newsfeed dislike model
This question evaluates a candidate's ability to design and operationalize a machine learning model that predicts the probability of a user disliking ...
Solve delimiter and CSV tasks
This question evaluates skills in string parsing and bracket balancing, CSV/file parsing and joining, computation of derived values, and sorting, emph...
Count unconnected posts and reactions
You are analyzing a newly launched feed feature intended to improve engagement by showing more unconnected content. Assume the following tables: - pos...
Dog-Walking Marketplace & Architecture
Design a Dog-Walking Marketplace App Design a two-sided marketplace that connects dog owners who need walks with vetted dog walkers who provide them. ...
Children’s Bookshelf Product Design
Product Design Prompt: Children's Bookshelf Design a primarily physical bookshelf for children to use at home, with optional lightweight digital suppo...
Implement tree column grouping and minimal parentheses fixes
Part A — Binary tree column grouping: Given the root of a binary tree, group node values by their vertical columns from leftmost to rightmost using x-...
How would you evaluate upranking Shop ads?
Meta is considering upranking ads that send users to an in-app Shop experience (for example, Facebook/Instagram Shops) relative to ads that send users...
Solve array merge and tree flattening problems
Solve array merge and tree flattening problems 1) Given two sorted arrays, merge them into a single sorted array. Provide both an in-place approach (w...
Evaluate and prioritize Facebook Groups
This question evaluates product analytics, experimentation design, causal inference, KPI hierarchy and metric-definition skills, and quantitative prio...
Design experiment for fake accounts impact
Experiment Design: Removing Detected Fake Accounts and Measuring Causal Impact Context: You are designing an end-to-end experiment on a large, interac...