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."
Choose Metrics for Evaluating Fake-User Classifier
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Identify Probability Distributions for Modeling Ad Clicks
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Design and Validate Initial Restaurant Recommendation Model
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Determine Metrics to Evaluate Notification Impact on Users
Determine Metrics to Evaluate Notification Impact on Users Facebook sends several types of push notifications and is considering a new notification th...
Evaluate Recommendation Feature with Historical Data Analysis
Offline Evaluation of a Recommendation Feature With Historical Data The company is considering launching a new recommendation-system feature and wants...
Define Success Metrics for Euro-Chat Customer-Service Chatbot
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Calculate Expected Meetings in Randomly Assigned Rooms
Expected Meetings in Randomly Assigned Rooms You are solving two probability questions about room occupancy. Constraints & Assumptions - In the first ...
Calculate Ad Insertion Statistics for Two Methods
Ad Insertion Statistics for Two Feed Strategies You are comparing two ways of inserting ads into a 100-post feed. - Option A: Each post independently ...
Calculate Expected Impressions and Probability for Users
Expected Impressions From Random Ad Allocation There are X distinct users and Y ad impressions. Each impression is assigned independently and uniforml...
Design Experiment to Measure Shopping Feature Impact
Experiment Design: Measure Instagram Shopping Impact Instagram is launching an in-app Shopping feature, such as product tags, shop surfaces, or in-app...
Build Predictive Model for Buyer Engagement Uplift
Predict Engagement Uplift for a New "Show Similar Products" Button A new "Show similar products" button may change buyer engagement. You need to build...
Solve tree, array, and maze tasks
This set of problems evaluates proficiency in algorithms and data structures, covering binary tree diameter computation, array optimization for maximu...
Evaluate fake accounts and ad creation
This question evaluates a data scientist's competencies in measurement and experimentation, covering prevalence estimation and detection system evalua...
Maximize Unique Letters
This question evaluates proficiency in combinatorial optimization, bit manipulation, and state-compression techniques for selecting subsets under uniq...
Compute sample size and test duration
You will run a two-arm A/B test on a signup funnel. Given: baseline conversion p0 = 4.0%; you care about detecting a 10% relative uplift (p1 = 4.4%); ...
Write dating profile report with final reviews
Today is 2025-09-01. You need a daily dating-profile quality and engagement report that only includes profiles whose latest version has a final approv...
Handle novelty and residual effects
This question evaluates a data scientist's competency in experiment design and causal inference for online metrics under temporal dynamics, specifical...
Evaluate brand ads effectiveness on social media causally
Hypothesis: 'Social media (e.g., Facebook) is not effective for brand advertising compared with other channels.' You have historical multi-channel dat...
Analyze ad targeting expectations and distributions
Ads Profit, Variance Decomposition, and Exponential Timing Context: You run an ad slot with two user segments. On each eligible page view (impression ...