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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Count unconnected posts and reactions
You are analyzing a newly launched feed feature intended to improve engagement by showing more unconnected content. Assume the following tables: - pos...
Design ticketing and coding practice platforms
You are asked two separate system design questions. --- 1. Design an online event ticketing platform (like Ticketmaster) Design a large-scale web serv...
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-...
How would you evaluate upranking Shop ads?
Meta is considering upranking ads that send users to an in-app Shop experience (for example, Facebook/Instagram Shops) relative to ads that send users...
Solve array merge and tree flattening problems
Solve array merge and tree flattening problems 1) Given two sorted arrays, merge them into a single sorted array. Provide both an in-place approach (w...
Evaluate and prioritize Facebook Groups
This question evaluates product analytics, experimentation design, causal inference, KPI hierarchy and metric-definition skills, and quantitative prio...
Design experiment for fake accounts impact
Experiment Design: Removing Detected Fake Accounts and Measuring Causal Impact Context: You are designing an end-to-end experiment on a large, interac...
Compare Instagram vs. Facebook using causal experiments
Compare Instagram and Facebook for consumer time and engagement: a) Define a single-objective OEC that captures healthy cross-app ecosystem value with...
Model comment count distribution and validate assumptions
You observe daily comment counts per post on a large social app are highly skewed with many zeros. a) Choose an appropriate discrete model among Poiss...
Identify trees, lists, and array search costs
Answer all parts concisely and justify time complexities. a) A data model requires each node to have at most two children and a single parent. Name th...
Reduce variance with covariate adjustment
Experiment Design and CUPED/Regression Adjustment You are running a randomized A/B test with outcome Y. You also have a pre-period covariate X (measur...
Estimate variance for ratio metrics
KPI Variance via Delta Method and Inference Choices for ARPU Context You run experiments where each arm produces aggregate totals per analysis unit (e...
Design experiments under network interference
A/B Test Design for Search-Ranking in a Two-Sided Marketplace with Interference Context You need to evaluate a change to the search-ranking algorithm ...
Estimate shuttle impact with robust causal design
You have individual-level data from 1,000+ sites, several hundred of which adopt a free employee shuttle at different times. Design a causal analysis ...
Characterize and compare transfer-count distributions over time
P2P Transfer Counts in First 30 Days: Distribution, Summaries, and Evolution Context: For a new user cohort, define X as each user’s number of peer-to...
Compare first-score vs all-scores estimators
This question evaluates statistical estimation and inference competencies—specifically understanding estimator definitions, weighting and sampling eff...
Characterize metric distribution and quantiles
KPI Analysis: Per-Video Watch Time (seconds) You are evaluating a pilot dataset for the KPI "per‑video watch time" (in seconds). The dataset (n = 20) ...
Set the Group Call participant cap
We must set a maximum participants cap K for Group Calls. You have telemetry at the call level: calls(call_id, start_ts, participants_count, video_on_...
Reflect on feedback and metric trade-offs
Describe a time you chose a simpler metric under tight time constraints and later received critical feedback that it was oversimplified (e.g., from a ...
Diagnose rising account switching and falling actives
Diagnostic Plan: Account Switching Up, Active Users Down Context You observed a sudden pattern: the number of users switching accounts increased, whil...