Meta 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.
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"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 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 ...
Identify Fake Accounts Using Machine Learning Techniques
Identify Fake Accounts Using Machine Learning Techniques Scenario You are a data scientist at Meta. Fake accounts (bots, spam, scams, impersonation, c...
Calculate Probability of Honest and Relevant Chatbot Answers
Calculate Probability of Honest and Relevant Chatbot Answers Chatbot Evaluation: Honesty and Relevance Scenario You are evaluating a customer-service ...
Evaluate new shop-ads ranking algorithm
This question evaluates a data scientist's skills in online experimentation, causal inference, and marketplace analytics—covering A/B test design, ran...
Evaluate impact of short videos in feed
Scenario You work on a social app’s main News Feed. The team wants to introduce a short-form video module ("Reels") into the feed. Prompt 1. How would...
Schedule and cancel delayed payments
Question Extend an existing in-memory payment system (immediate transfers between accounts, plus a top-N spenders/payers leaderboard) with scheduled p...
Traverse binary tree by levels with constraints
Given a binary tree and a predicate P(node), perform a level-by-level traversal that collects, for each level, only the nodes whose values satisfy P. ...
Find mode or minimum with time-space tradeoffs
For an unsorted array of integers, implement two functions: ( 1) return the minimum value; ( 2) return the value that appears most frequently (the mod...
Compute posterior fake probability using Bayes' rule
A platform runs an automated detector to flag fake accounts. - Prior probability an account is fake: \(P(F)=0.02\). - True positive rate (sensitivity)...
Resolve cross-functional conflicts using analytics results
Answer the following behavioral prompts for a data science/product analytics role working cross-functionally (PM, Eng, Ads/Sales): 1) Describe a time ...
Estimate bots and CI from DAU spike
This question evaluates proficiency in mixture modeling for anomaly detection, parametric and nonparametric inference for mean differences, handling o...
Describe leading through stakeholder conflict and ambiguity
Describe a time you had to push back on a senior stakeholder to stop a rushed launch of a metric/report or experiment you believed was invalid. Includ...
Identify trees, lists, and array search costs
Answer all parts concisely and justify time complexities. a) A data model requires each node to have at most two children and a single parent. Name th...
Detect and address Simpson’s paradox
Experiment Aggregation Bias and Heterogeneity: Simpson's Paradox, Robust Estimation, and Decisioning Context You ran a randomized experiment measuring...
Explain background, team structure, and role fit
Answer the following in order: 1) Give a crisp 90‑second self‑introduction tailored to this role, emphasizing 1–2 quantifiable achievements most relev...
Design and analyze an A/B test
Experiment Design: Proximity-Weighted Search Ranking A/B Test You are designing a 14-day, 50/50 user-level randomized A/B test for a marketplace's sea...
Evaluate Facebook Dating launch and validate success
Validation Plan: Scaling Facebook Dating from Pilot to Broader Rollout Context: You are a data scientist evaluating whether a limited-market pilot of ...
Diagnose sudden KPI drop with segmentation
Production Incident: 10% Drop in Daily Likes (DAU Flat) on 2025-09-01 You are investigating a 10% day-over-day drop in daily Like actions on a global ...
Diagnose drop and assess metric change impact
This question evaluates a data scientist's competency in diagnostic analytics, instrumentation validation, causal attribution, experimentation design,...
Demonstrate leadership under ambiguity
Behavioral & Leadership Prompt (Data Scientist) Describe one high-stakes project where priorities changed mid-stream and you had to influence without ...