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."
"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 SQL and Python coding tasks
You are given a small library system with the following relational schema and several Python data-processing tasks. Answer the SQL questions and imple...
Prepare Leadership And Collaboration Stories
Prepare concise behavioral interview answers for the following prompts. Use specific examples from your own experience, quantify impact where possible...
Design an Instagram-like platform
This question evaluates proficiency in scalable backend architecture, distributed systems, data modeling, media storage and processing, API design, fe...
Troubleshoot a Midnight Web Server Outage
This question evaluates a candidate's incident response, systems debugging, and root-cause analysis skills, focusing on log-driven investigation, Linu...
Design an online auction system
Design an online auction system (eBay-style). Requirements: - Users create auctions with start/end time and starting price. - Users place bids; system...
How would you grow Meta products?
This question evaluates product growth analytics and experimentation skills, including metric definition, funnel decomposition, segmentation, hypothes...
Design an Expected O(1) Randomized Container
Design an Expected O(1) Randomized Container Design a generic container that stores distinct elements and supports: - insert(element) -> bool: add an ...
Design Nearby and Notification Ranking
Two machine learning system design prompts were mentioned: 1. Nearby place recommendation for a mobile user Design a real-time recommendation syste...
Describe conflict resolution and initiative
The behavioral round reportedly consisted of 7-8 standard questions. A polished version of the expected prompts would be: - Tell me about a time you h...
Should We Launch Group Calling?
Question You work on a consumer calling product (think Messenger/WhatsApp-style voice) that currently supports only one-to-one voice calls. The team i...
Find Any Local Minimum with Iterative Binary Search
Find Any Local Minimum with Iterative Binary Search Given a nonempty integer array numbers, return the index of any local minimum. An index i is a loc...
Design a Short-Video Recommendation System
This question evaluates competency in designing large-scale short-video recommendation systems, including machine learning model selection, candidate ...
Discuss Projects, Failures, and Growth
Prepare structured answers for the following behavioral prompts from an interview: - Describe the project you are most proud of. - What was the hardes...
Select words to maximize unique characters
Problem You are given an array of strings words. You may choose any subset of these strings and concatenate the chosen strings in any order. Your goal...
How would you evaluate pixel-issue notifications?
This question evaluates a data scientist's skills in experimentation design, metric framework development, causal inference, and measurement-aware ana...
How would you define and use retention metrics?
Scenario You are a Data Scientist supporting a consumer product (app or website). A PM asks you to “dive deep” on user retention and recommends tracki...
How to measure harmful-content severity and run experiments
Question You are a Data Scientist working on content integrity / harmful content at a large social media platform (e.g., hate/harassment, self-harm, g...
Count Distinct Values in a Sorted Array When K Is Small
Count Distinct Values in a Sorted Array When K Is Small Given an integer array sorted in nondecreasing order, return the number of distinct values. Le...
Palindrome After Deleting at Most One Character
This question evaluates a candidate's ability to reason about two-pointer string traversal and palindrome verification under a single edit constraint....
Build a FastAPI summarization service
Implement a minimal but production-ready FastAPI service for text summarization. Requirements: - Expose an endpoint POST /summarize. - The request bod...