Meta System Design 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."
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform You are a data scientist at a large user-generated-content platform (think a...
Compute interval mode, BST range sum, exclusive time
You are given several independent coding tasks. A) Most frequent integer covered by intervals You are given an integer range [-M, M] and a list of inc...
Design a real-time ad impression aggregator
Design an ads impression aggregator service with the following requirements: - The system ingests a high-volume stream of impression events (each even...
Solve sliding window and tree BFS
Solve sliding window and tree BFS Solve a typical medium-level sliding-window problem (e.g., longest substring without repeating characters). LeetCode...
Debug and optimize React performance issues
Debug and optimize React performance issues React Debugging and Performance Assessment Background You're reviewing a React single-page application dur...
Calculate Posterior Fraud Probability Using Bayes' Theorem
Calculate Posterior Fraud Probability Using Bayes' Theorem Posterior Fraud Probability After a Flag Context You operate a fraud detection system that ...
Describe Handling Conflict in Team Projects and Collaboration
Describe Handling Conflict in Team Projects and Collaboration Behavioral & Leadership (Onsite) — Data Scientist Scenario You are interviewing for a Da...
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...
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...
Solve string transform and min-move sorting
This two-part problem evaluates string manipulation and algorithmic problem-solving competencies, specifically rule-based text transformation and comp...
Deep copy a linked list with random pointers
This question evaluates understanding of linked-list structures, pointer/reference manipulation, deep versus shallow copying, and the ability to analy...
Design a weapon-ad harmful content detection system
This question evaluates skills in end-to-end system design and applied machine learning for multi-modal harmful content detection, covering scalabilit...
Implement LRU cache and copy random list
This question evaluates competency in data-structure design, pointer and memory management, and hashing-based eviction policies by combining a deep-co...
Design coding platform with global leaderboard
This question evaluates proficiency in scalable distributed systems and system design, including real-time ranking algorithms, data modeling, API desi...
Implement a Timestamped Banking System
This question evaluates the ability to design and implement an in-memory, time-ordered stateful system handling event scheduling, transactional update...
Explore Behavioral Growth and Adaptability in Data Science.
Behavioral Deep-Dive: Growth, Agility, Cross-Team Support, and Inclusion You are in a behavioral and leadership round for a Data Scientist role. The i...
Evaluating and launching Instagram Stories
Evaluating and Launching Instagram Stories You are evaluating the rollout and impact of Stories, an ephemeral sharing format similar to Snapchat, acro...
Fake Accounts [AE]
Evaluates probability, classification metrics, and feature engineering for fake-account detection. Strong answers apply Bayes' rule with rate-weighted...
Determine Features for Effective Hashtag Recommendations
Hashtag Recommendation System Design You are designing a hashtag recommendation system for a social-media platform. Given a user composing post conten...
Track Success and Guardrail Metrics for Push Notifications
Track Success and Guardrail Metrics for Push Notifications You are designing and evaluating a new push-notification feature for a travel-recommendatio...