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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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...
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...
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_...
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...
Measure network effects and spillovers via experiments
Experiment design under network interference: direct and indirect effects Context You are evaluating a new social feature that can produce network spi...
Select and prioritize metrics with guardrails
Design a Metrics Framework for a New Groups Stories Feature Context You are evaluating a new Groups Stories feature whose goal is to increase meaningf...
Quantify base-rate dilution in CTR
Weighted-Average CTR and Volume Requirements You are assessing the impact of introducing a new high-CTR event notification into an existing stream of ...
Define metrics and design experiments for notifications
Analytics/Experimentation Case: "Your friend is attending a local event—join them?" You are evaluating a proposed notification: "Your friend is attend...
Deliver an elevator pitch and impact example
Elevator Pitch + End-to-End Experimentation Case + “Why Meta?” Context You are interviewing for a Data Scientist role during a technical screen. Use c...
Diagnose drop and assess metric change impact
This question evaluates a data scientist's competency in diagnostic analytics, instrumentation validation, causal attribution, experimentation design,...
Design and validate ad model launch
You are on the Ads team and just trained a new ad recommendation model meant to replace the current model in production. Design a rigorous plan to dec...
Estimate revenue of organic shopping tab
Estimate Monthly Revenue for a New Shopping Tab (Organic Only) Context You are evaluating the potential monthly revenue impact of launching a new Shop...
Design experiment for Group Calls with interference
Design an Experiment for Group Calls in a 1:1 Calling App (with Network Interference) You are adding a Group Calls feature to an existing 1:1 calling ...
Compute posterior for accurate-but-rare classifier
Bayes' Theorem: Interpreting Screening Model Predictions Context You are evaluating a binary screening model that flags "bad" users in a population. T...