Meta Analytics & Experimentation 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"
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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."
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"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."
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...
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...
Design a restaurant recommender under cold start
Design a Multi-Objective Restaurant Ranking System You own the restaurant recommendation surface for a city app. The goal is to rank nearby restaurant...
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 ...
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...
Extend a Maze Solver
This question evaluates competence in graph search and state-space modeling, specifically BFS-based pathfinding, constrained traversal rules (directio...
Find Maximum Unique-Character Subset
This question evaluates algorithm design and combinatorial optimization skills, specifically the ability to model disjoint-character constraints, hand...
Evaluate AI-assisted ad creation
This question evaluates a candidate's competence in product analytics, causal inference, experimentation design, metric definition, and monitoring for...
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...
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...
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...
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 Instagram's Short-Video Recommender System Success
Evaluate Instagram's Short-Video Recommender System Success Instagram is launching a short-video recommender feed. You are asked to choose metrics, re...
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...
Analyze User Comment Distribution and Sampling Effects
Analyze User Comment Distribution and Sampling Effects You are analyzing daily comment counts per user. The individual user-level distribution is righ...
Design an Online Coding Judge
This question evaluates system design and scalability skills for building a high-throughput, low-latency online coding judge, covering distributed arc...
Discuss conflicts, proudest project, and departure reasons
Behavioral & Leadership Questions — Machine Learning Engineer (Technical Screen) Answer the following prompts concisely, using concrete examples from ...
Describe Tough Project and Tight Deadline
Behavioral Prompt: Challenging Project and Tight Timeline Tell me about your most challenging project. Also describe a time when you had to deliver un...