Meta System Design 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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"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
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"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
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"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Explain why IG Story usage exceeds Facebook
Explain why IG Story usage exceeds Facebook Product analytics case: Instagram vs Facebook Stories You work on Stories across two apps: Instagram (IG) ...
Calculate Expected Comments and Confidence Interval Analysis
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Determine Probability of Friend Request Being Fake
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Evaluate Chatbot's Retailer Value and Launch Viability
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Analyze Comment Distribution Using Statistical Metrics and Tests
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Pivot Projects Quickly and Foster Team Inclusion
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Design an Experiment to Evaluate New ML Model
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Define Product Metrics: Align Stakeholders, Measure Success, Improve Results
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Analyze Video View Distribution: Mode, Median, Mean Comparison
Analyze Video View Distribution: Mode, Median, Mean Comparison Scenario You are analyzing user engagement on a short-video sharing product. The team n...
Evaluate Success of Group Video Feature with Key Metrics
Evaluate Success of Group Video Feature with Key Metrics Evaluate the Success of a New Group Video Feature Context You are assessing the launch of a G...
Solve PTO window and sparse unique counting
Solve PTO window and sparse unique counting Design algorithms for two problems: A) Longest vacation with limited PTO: Given an array A of characters w...
Describe conflict resolution and mentoring experiences
You are interviewing for an engineering manager or senior engineer role. Prepare structured behavioral answers for these four prompts: 1. Describe a s...
Write SQL for call metrics
This question evaluates a candidate's competency in SQL-based data manipulation and analytics, specifically aggregations, JOINs across relational tabl...
Design comment ranking for a news feed
This question evaluates a candidate's ability to design an ML-powered comment-ranking system, testing competencies in personalization, engagement and ...
Design a Netflix-like video streaming service
This question evaluates competency in designing large-scale streaming platforms, focusing on distributed systems, content storage and encoding pipelin...
Compute nested depth sum and grid distance
Problem A: Weighted sum of integers in a nested list You are given a nested list structure that may contain integers or other nested lists. Define the...
Design place-of-interest ML system
Design place-of-interest ML system Design a POI (Places of Interest) Recommendation System Context Design a global POI recommender for a mobile maps/f...