Meta Data Manipulation (SQL/Python) 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.
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Handle sales pressure with analytical integrity
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Choose group-call participant cap via distribution
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Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform You are a data scientist at a large user-generated-content platform (think a...
Compute interval mode, BST range sum, exclusive time
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Design a real-time ad impression aggregator
Design an ads impression aggregator service with the following requirements: - The system ingests a high-volume stream of impression events (each even...
Solve sliding window and tree BFS
Solve sliding window and tree BFS Solve a typical medium-level sliding-window problem (e.g., longest substring without repeating characters). LeetCode...
Debug and optimize React performance issues
Debug and optimize React performance issues React Debugging and Performance Assessment Background You're reviewing a React single-page application dur...
Describe Handling Conflict in Team Projects and Collaboration
Describe Handling Conflict in Team Projects and Collaboration Behavioral & Leadership (Onsite) — Data Scientist Scenario You are interviewing for a Da...
Evaluate Fake-Account Classifier with Precision and Recall Metrics
Evaluate Fake-Account Classifier with Precision and Recall Metrics Evaluating a Fake-Account Classifier in Production Scenario You have trained a mode...
Calculate Posterior Fraud Probability Using Bayes' Theorem
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