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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Find balanced subarray and increasing tree path
You are given two coding problems. Problem 1: Longest balanced subarray (0/1) Given an integer array nums of length n where each element is either 0 o...
Implement Multi-Level In-Memory Services
Implement the following independent multi-level in-memory service simulations. In an interview, you may receive one scenario and unlock the levels seq...
How would you compare Facebook vs Instagram Stories?
You work on short-form ephemeral content. Both Facebook Stories and Instagram Stories exist, and leadership asks: Which product should we invest in, a...
Compute CTR for peak vs non-peak hours
This question evaluates a candidate's ability to compute time-based click-through rate metrics using SQL and data manipulation techniques, including j...
Detect fake accounts and measure their impact
This question evaluates competency in fraud detection, causal impact measurement, experimentation design, and operational analytics for product and ad...
Model entities for feed content and shares
Scenario You are designing the data model for a social app’s News Feed that shows multiple content types (text, image, short video). Users can interac...
Implement fast power and k-palindrome
This question evaluates numerical algorithm design and string algorithm skills, focusing on efficient exponentiation with negative exponents and deter...
Evaluate a new-listing notification feature
This question evaluates product analytics, causal inference, experimentation design, metric definition, and business-impact estimation competencies fo...
Evaluate new-product notification feature
A marketplace team is considering building a feature that notifies buyers when new products relevant to their interests are listed. How would you dete...
Design concurrent expiring job registry
This question evaluates understanding of concurrent data structures, synchronization primitives, time-based expiration semantics, and efficient cleanu...
How investigate a brand-ad spend drop?
Meta has a video ads product with two ad types: - Direct ads: optimized for in-platform actions - Brand ads: users click the video ad and are sent to ...
Implement an in-memory key-field-value DB with TTL
In-Memory DB with TTL + Scan + Backup/Restore Implement an in-memory database storing records by (key, field) -> value with optional TTL. Data model /...
How would you validate a driving simulator’s realism?
You work on autonomous driving evaluation. You have two datasets for the same set of driving scenarios: - Real-world logs collected from vehicles (gro...
How would you predict a car’s turning intention?
At an intersection, there are n vehicles stopped or approaching. For each vehicle, you have a short history (e.g., last 3–10 seconds at 10 Hz) of: - P...
Describe Handling Cross-Functional Projects and Changing Priorities
Describe Handling Cross-Functional Projects and Changing Priorities This behavioral prompt evaluates how you collaborate across functions, respond to ...
Evaluating a 15 % reduction in post‑card height
Evaluating a 15 Percent Reduction in Post-card Height You own the feed UX for a social app. Designers propose shrinking each post card's height by 15 ...
Derive Linear Regression Solution
This question evaluates understanding of one-dimensional linear regression estimation, the statistical derivation of the mean squared error objective ...
Solve Tree Diameter and Palindromic Counts
This two-problem prompt evaluates proficiency in tree algorithms and recursion for computing longest paths in binary trees, along with string processi...
Solve Tree Columns And Maze Variants
This question evaluates tree traversal and column-based grouping skills along with grid-based graph search, state modeling, and handling dynamic maze ...
Propose an ads recommendation model for shop ads
You need to propose a modeling approach for recommending/ranking shop ads (i.e., which shop ads to show and in what order) for a marketplace app. Desc...