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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Describe Handling Unexpected Changes and Data-Driven Conflicts
Describe Handling Unexpected Changes and Data-Driven Conflicts This behavioral interview prompt assesses cultural fit, ownership, communication, adapt...
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...
Determining the optimal ad load in News Feed
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Interpreting confidence intervals to choose a treatment
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Resolve Conflicts and Clarify Goals in Data Projects
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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...
Analyze User Transfer Distribution in Initial Launch Period
Analyze User Transfer Distribution in an Initial Launch Period A new peer-to-peer payments feature has launched. You are asked to analyze the number o...
Determine Group Call Feature Need and Evaluation Methods
Determine Need and Evaluation Methods for Group Calling You are the product analyst for a messaging platform considering a group-calling feature. You ...
Implement Clustered Sampling to Mitigate Network Effects in Testing
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Describe a failed project and lessons learned
Describe a project you worked on that ultimately failed or did not meet its goals. Explain: - What the project was trying to achieve and your role. - ...
Count Recent High-Volume Call Users
This question evaluates SQL data manipulation and analytical querying skills, including time-window filtering, joins between user and call tables, rol...
Should WhatsApp Launch Group Calls?
This question evaluates product analytics and experimentation skills, specifically defining north-star, primary, guardrail and diagnostic metrics from...
Assess Demand for Group Video Chat
This question evaluates skills in product analytics, causal inference from observational data, demand estimation, survey design, and executive-level s...
Implement string and basic ML algorithms
You are given three implementation tasks that mix algorithms and basic machine learning models. --- Task 1: Longest substring with all distinct charac...
Dog-Walking Marketplace & Architecture
Design a Dog-Walking Marketplace App Design a two-sided marketplace that connects dog owners who need walks with vetted dog walkers who provide them. ...
Parking-Spot Finder on Google Maps
Product Design Prompt: Parking-Spot Finder Integrated with Google Maps Design a parking-spot finder feature integrated into Google Maps. Address: 1. T...
Investigate Falling Brand-Ad Spend
This question evaluates competency in data analysis, anomaly detection, causal inference, and diagnostic reasoning related to advertising performance,...
Solve array, tree, and maze problems
This question evaluates algorithmic problem-solving across arrays, binary trees, and grid pathfinding, testing competencies in array traversal and vis...
Design a secure ML data platform
System Design: Secure, Ethical, Multi‑Tenant ML Data and Inference Platform Context Design a cloud-based ML platform used by multiple internal product...
Design input validation and error handling
Design Task: API, Validation, and Error Handling for a Top-K Frequency Service Context Design a production-grade service that, given an array of eleme...