Meta Data Manipulation (SQL/Python) Interview Questions
Practice 1,129 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.
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Compute nested depth-weighted sum
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Describe Tough Project and Tight Deadline
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Apply GenAI to Business Messaging
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Given training pairs (x_i, y_i) for a one-dimensional linear regression model without bias, y_hat = w * x, derive the mean squared error objective, so...
Guide a mouse to find cheese with APIs
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How would you grow key product metrics?
You are interviewing for a Product Growth Analyst role. Answer the following product growth / analytics case prompts. For each prompt, clearly state: ...
Compute time-spent percentage by app category
You work on Oculus app engagement analytics. Tables user_activity - user_id (BIGINT) - date (DATE) — day of activity (assume UTC) - app_id (INT) - ses...
Find the most-used app
You work on Oculus app engagement analytics. Tables user_activity - user_id (BIGINT) - date (DATE) — day of activity (assume UTC unless otherwise spec...
Compute Bayes probability for fake accounts
A platform is trying to detect fake accounts. Assume: - Base rate of fake accounts is \(P(F)=p\). - A detection system flags an account as suspicious ...
How would you evaluate a new ads ranking algorithm?
Context You work at a social network company with an ads marketplace. The company has an existing ads ranking algorithm currently used to select and o...
Implement several string, tree, and BFS problems
You are given several independent coding tasks. Implement each as described. A) Print a root-to-target path with column indentation (binary tree) Give...
Solve tree traversal and interval merging tasks
Part A — Column-wise Binary Tree Grouping: You are given the root of a binary tree. Group nodes by vertical column index, where the root has column 0,...
Implement tree column grouping and minimal parentheses fixes
Part A — Binary tree column grouping: Given the root of a binary tree, group node values by their vertical columns from leftmost to rightmost using x-...