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."
Design content moderation for a posting app
This question evaluates a candidate's ability to design content-moderation features, covering competencies in scalable system design, API and data mod...
Determine feasibility and clean parentheses string
This pair of problems evaluates proficiency with graph algorithms (dependency modeling and cycle detection/topological ordering) and string processing...
Implement weighted random sampling with preprocessing
This question evaluates algorithm design and probabilistic reasoning for weighted random sampling, including data-structure preprocessing, time-space ...
How to evaluate emoji reactions?
This question evaluates product analytics and experimentation competencies for a Product Analyst role in the Analytics & Experimentation domain, focus...
Describe conflict resolution, prioritization, and collaboration
Describe conflict resolution, prioritization, and collaboration Behavioral Prompt: Conflict Resolution and Leadership (Software Engineer, Onsite) Inst...
Demonstrate ownership and conflict resolution
Demonstrate ownership and conflict resolution Behavioral: 0→1 Data Initiative, Prioritization, and Cross-Functional Leadership Context: Onsite intervi...
Discuss achievements, ambiguity handling, growth, and conflict management
Discuss achievements, ambiguity handling, growth, and conflict management Behavioral & Leadership Interview Prompts (Software Engineer — Onsite) Conte...
Extend a BFS maze solver stepwise
This question evaluates proficiency in grid-based graph traversal and pathfinding, covering BFS mechanics, stateful reachability with keys and doors, ...
Solve maze tasks and compute shortest routes
This multi-part question evaluates proficiency in grid-based pathfinding and shortest-path reasoning, debugging and incremental code extension, handli...
Compute sparse dot product and count islands
You are asked to solve two coding problems. Problem 1: Sparse vector dot product Given two vectors A and B of the same length n (potentially large, e....
Posterior probability given model accuracy
Security Classification: Posterior Probability When Flagged You are evaluating a binary classifier that flags potentially bad users. Assume: - Base ra...
Analyzing abuse in the content‑reporting system
Measuring Valid Reports and Detecting Abuse in a Reporting System Analyze a user reporting system over a 30-day window. The schema is: reports(report_...
Assessing whether a new metric A is meaningful for News Feed
Evaluating a Proposed Proxy Metric for News Feed A partner team proposes metric A as a proxy for "meaningful interactions" in News Feed. Before adopti...
Building a restaurant‑recommendation feature with Nearby Friends signals
Real-time Nearby Eateries Recommendation Meta wants to leverage real-time, opt-in location from Nearby Friends to recommend nearby eateries users migh...
Evaluating Instagram’s one‑tap account switcher
Instagram One-tap Account Switcher: Identity, Behavior, and Risk Product teams shipped an in-app one-tap account switcher to help creators and power u...
Compare Ad-Insertion Strategies: Expected Ads and Probabilities
Newsfeed Ad-Insertion Strategies You are evaluating two ways to insert ads into a user's newsfeed. A user views a contiguous sequence of posts. - Stra...
Evaluate Metrics for Restaurant-Feature Impact and Engagement Trade-offs
Evaluate Metrics for Restaurant-Feature Impact and Engagement Trade-offs A large social app launches a restaurant-recommendation feed that may compete...
Determine Metrics for Group-Video Calling Experiment Success
Determine Metrics for Group-Video Calling Experiment Success You are the data scientist for a large consumer messaging app that currently supports one...
Design Experiment to Evaluate New Video-Ad Effectiveness
Design an Experiment to Evaluate New Video-Ad Effectiveness A large consumer app is considering a new video-ad format with changes to UI, creative ren...
Evaluate Messenger's P2P Payments Feature for Business Viability
Evaluate Messenger's P2P Payments Feature for Business Viability Facebook Messenger is considering launching a Venmo-like peer-to-peer money transfer ...