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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Solve common array/string/linked-list tasks
You may be asked one or more of the following independent coding tasks. For each task, implement an efficient algorithm and clearly state time/space c...
Construct a 95% Confidence Interval for Comment Counts
Construct a 95% Confidence Interval for Comment Counts Comment Activity Analysis: Mean CI, Sampling Distribution, and 95th Percentile Context You have...
Influence Stakeholders Without Authority: Strategies and Outcomes
Influence Stakeholders Without Authority: Strategies and Outcomes Scenario Meta Data Scientist onsite behavioral & leadership loop. The interviewer pr...
Identify Fake Accounts Using Machine Learning Techniques
Identify Fake Accounts Using Machine Learning Techniques Scenario You are a data scientist at Meta. Fake accounts (bots, spam, scams, impersonation, c...
Explain Your Motivation for Career Transition and Role Interest
Explain Your Motivation for Career Transition and Role Interest Behavioral Phone Screen — Data Scientist Context You’re in a recruiter/technical phone...
Ensure Effective Teamwork Amid Conflicting Stakeholder Opinions
Ensure Effective Teamwork Amid Conflicting Stakeholder Opinions Behavioral: Cross-Functional Collaboration, Miscommunication, and Conflict Handling Co...
Compute probability an account is fake
This question evaluates understanding of conditional probability and Bayesian reasoning, specifically interpreting base rates alongside true positive ...
Evaluate new shop-ads ranking algorithm
This question evaluates a data scientist's skills in online experimentation, causal inference, and marketplace analytics—covering A/B test design, ran...
Evaluate impact of short videos in feed
Scenario You work on a social app’s main News Feed. The team wants to introduce a short-form video module ("Reels") into the feed. Prompt 1. How would...
Design leaderboard and messenger systems
Design leaderboard and messenger systems This Meta onsite system-design round asks you to design two large-scale systems back to back. Cover end-to-en...
Remove minimum parentheses to balance string
Given a string s containing lowercase letters and the characters '(' and ')', remove the minimum number of parentheses so that the resulting string is...
Generate unique permutations with duplicates
Given an array of integers that may contain duplicates, generate all unique permutations. Ensure no duplicate permutations are returned even if some v...
Set up a Python interview environment
You can use AI coding tools. Prepare a clean laptop for a Python-based onsite and explain your steps: ( 1) Install pyenv and set up a project-specific...
Tackle Python tasks under time pressure
In a 15-minute coding round, implement a small Python function or class to solve a well-scoped problem within about 5 minutes of coding. 1) State 1–2 ...
Design a real-time messenger
Question Design a real-time messaging system (a Messenger/WhatsApp-style product) that supports 1:1 and group chats. Walk through requirements, the AP...
Build harmful-content text classifier
This question evaluates a candidate's competence in designing an end-to-end machine learning pipeline for binary text classification, covering data un...
Compute posterior fake probability using Bayes' rule
A platform runs an automated detector to flag fake accounts. - Prior probability an account is fake: \(P(F)=0.02\). - True positive rate (sensitivity)...
Resolve cross-functional conflicts using analytics results
Answer the following behavioral prompts for a data science/product analytics role working cross-functionally (PM, Eng, Ads/Sales): 1) Describe a time ...
Measure impact of bot mitigation via experiment
Experiment Design: Measuring the Impact of a Bot‑Mitigation System Context You are evaluating a production change to a large social platform that hide...
Measure a friend-recommendation launch
A new friend-recommendation algorithm ships behind a feature flag. Design how you will measure success and decide whether to launch: - State no more t...