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.
"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."
Determine Probability of Friend Request Being Fake
Determine Probability of Friend Request Being Fake Scenario You operate a platform where 95% of accounts are real and 5% are fake. Fake accounts send ...
Track Metrics to Measure Push Notification Quality
Track Metrics to Measure Push Notification Quality Scenario A consumer mobile app sends push notifications to drive user engagement. You need to evalu...
Describe Handling Unexpected Feedback and Actions Taken
Describe Handling Unexpected Feedback and Actions Taken Behavioral: Resilience After Unexpected Negative Feedback or Rejection Context You are in an o...
Explain Type I vs. Type II Errors in A/B Testing
Explain Type I vs. Type II Errors in A/B Testing A/B Testing Errors and Estimation Under Skewed Metrics Context You are analyzing an A/B experiment fo...
Solve linked list, top-K, and string reduction
Solve linked list, top-K, and string reduction Solve the following algorithmic tasks: 1) Given a singly linked list, return the k-th node from the end...
Explain behavioral experiences and decisions
Explain behavioral experiences and decisions Behavioral Interview Prompts — Onsite (Software Engineer) Context You are preparing for the onsite behavi...
Remove minimum invalid mixed brackets
Given a string s containing letters and bracket characters from the set (), [], {}, remove the minimum number of bracket characters so that the result...
Connect next pointers for each tree level
You are given the root of a binary tree where each node has fields left, right, and next (initially null). For every node, set its next pointer to the...
Compare performance of FB vs IG Stories
This question evaluates a data scientist's competency in experimental design, causal inference, attribution modeling, metric selection, and decision-o...
Convert multi-currency revenue to USD totals
This question evaluates a candidate's competency in converting multi-currency revenue into USD totals by aligning event dates with FX rates, handling ...
Compute daily active ads
This question evaluates proficiency in data manipulation and analytics engineering, focusing on time-based event aggregation, status-based filtering, ...
Analyze and mitigate fake advertiser accounts
This question evaluates competency in fraud detection analytics, including operationally defining fake advertiser accounts, designing longitudinal met...
Evaluate AI-assisted ads creation feature
This question evaluates a data scientist's competence in experimental design, metric selection, causal inference, and balancing business metrics with ...
How to evaluate Shop ad upranking
This question evaluates a data scientist's competency in causal experimentation, metric design, uplift and channel-substitution analysis, heterogeneou...
Write SQL for seller and category metrics
This question evaluates proficiency in SQL data manipulation—principally joins, aggregations, grouping, filtering, date arithmetic, and safe handling ...
How would you evaluate upranking shop ads?
This question evaluates a candidate's competency in ad-ranking intervention evaluation, causal inference and experimentation design, metric definition...
Answer key behavioral prompts effectively
Prepare responses for these behavioral prompts: 1. Proudest project: Describe the project you’re most proud of and why. 2. Conflict: Tell me about a t...
Design place-of-interest ML system
Design place-of-interest ML system Design a POI (Places of Interest) Recommendation System Context Design a global POI recommender for a mobile maps/f...
Solve four OA string/array/matrix/graph tasks
This multi-part prompt evaluates proficiency in core programming competencies: string parsing and character classification, simulation/greedy processi...
Solve frequency and tree-completeness problems
These two problems evaluate competency in frequency counting and selection algorithms for identifying top-k elements and in binary tree structure anal...