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."
Compute conditional occupancy across two rooms
Probability and Bayes Update: Two Rooms Setup There are two rooms. Prior over occupancy states: - With probability 1/3: both rooms are occupied. - Wit...
Tune fraud threshold under review capacity and costs
Fraud Triage Thresholding with Calibrated Scores Context You have a fraud model that outputs a calibrated score s ∈ [0, 1] per account, where s ≈ P(fa...
Resolve teammate feeling unwelcome with measurable steps
Behavioral Scenario: Psychological Safety Concern Within a Subgroup You are a senior individual contributor or team lead on a remote-first data team. ...
Resolve exclusion, learn fast, and manage conflict
Behavioral & Leadership Onsite — Cross-Team Inclusion, Fast Learning, Analytical Conflict Context You are a data scientist working cross-functionally ...
Model comment counts and detect anomalies
Modeling Heavy-Tailed Comment Counts and Robust Monitoring You are analyzing daily comment counts at the post–day level. The distribution is heavy-tai...
Measure fake-news interventions under network interference
Experiment Design Under Interference: Warning Label for Suspected Fake-News Reshares Context You are testing a pre-reshare warning label for links sus...
Optimize IG Shopping ranking with multiple objectives
Instagram Shopping: Multi-Objective Ranking With Fairness, Fraud Robustness, and On-Device Constraints You are designing the Instagram Shopping home f...
Communicate trade-offs and influence launch
Product Experiment Trade‑off: Notifications for Multi‑Account Users Context You ran an experiment on notification delivery to users who often maintain...
Design Messenger spam experiment with clustering
Experiment Design: Spam-Detection Algorithm for Messenger You are evaluating a new spam-detection algorithm that routes suspected spam into a separate...
Answer common behavioral prompts
You are asked several behavioral questions. Answer each with a concrete example from your experience (use STAR: Situation, Task, Action, Result), and ...
Determine Superiority of Model A Using Hypothesis Testing
Hypothesis Test: Is Model A Better Than Model B? A search feature marks a session as successful only when both relevancy and accuracy binary flags equ...
Evaluate Impact of Targeting Ads to High-Intent Users
Evaluate Impact of Targeting Ads to High-Intent Users A product manager proposes allocating all ad impressions to users predicted to be high intent, a...
How to Validate Friends' Content Engagement Hypothesis?
Validate Friends' Content Engagement Hypothesis A Meta product team wants to know whether content from a viewer's friends or connected authors drives ...
Troubleshoot a website outage with disk full
This question evaluates operational incident response and systems troubleshooting skills, including understanding of disk/storage behavior, log and me...
Design a food ordering and delivery system
This question evaluates a candidate's ability to design scalable, reliable backend systems including API design, data modeling, state management, disp...
Return right and left side views of a tree
This question evaluates understanding of binary tree data structures and the competency to identify side views by reasoning about which node is visibl...
Build a Friend Recommender
This question evaluates proficiency in graph algorithms, recommendation system logic, input validation, metric design, and test-driven software implem...
Analyze spend and creation-source shifts
This question evaluates a data scientist's competency in SQL-based data manipulation, time-series aggregation, joins, and metric computation for analy...
Find Maximum Unique-Character Subset
This question evaluates algorithm design and combinatorial optimization skills, specifically the ability to model disjoint-character constraints, hand...
Extend a Maze Solver
This question evaluates competence in graph search and state-space modeling, specifically BFS-based pathfinding, constrained traversal rules (directio...