Meta System Design Interview Questions
Practice 1,126 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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"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"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."
Identify User Interest in Group Video Calls Using Data
Group Video-Calling Feature Analysis Context You are asked to design, launch, and analyze a new group video-calling feature for a large social/messagi...
Determine Product Buyer Count and Interaction Percentage
interactions +-----------+----------+------------+----+------------+ | seller_id | buyer_id | product_id | li | create_date| +-----------+----------+-...
Analyze Group Call Adoption Using SQL Queries
CALL_LOGS | call_id | user_id | call_start | call_end | is_group_call | participant_cnt | | 101 | 12 | 2023-08-01 10:00...
Analyze User Engagement Metrics for Video-Calling App
Calls +--------+-----------+------------+---------+----------+ | caller | recipient | ds | call_id | duration | +--------+-----------+--------...
Evaluate Success of B2C Chat App with Key Metrics
Scenario A data scientist is asked to define how to evaluate the overall success of a business-to-consumer (B2C) chat application. Task Identify the c...
Evaluate Success Metrics for Facebook Groups and New Features
Facebook Groups — Success Metrics, Prioritization, and Local "Circle" Opportunity Sizing Context You are evaluating Facebook Groups and a potential ne...
Describe Overcoming a Major Challenge in Your Career
Behavioral Deep-Dive (New-Grad Data Scientist, Onsite) Prompts 1. Describe a situation where you had to react very quickly. 2. Tell us about a skill y...
Compute Shop Visibility Rate Using SQL and Python
shop_events | event_id | shop_id | user_id | event_type | event_time | | 1 | 101 | 1001 | view | 2023-07-01 10:05:00 | | ...
Interpreting metrics when autoplay videos reduce time‑spent but increase DAU
Autoplay Snippets: Time‑Spent Down, DAU Up — Explain and Test Context You are analyzing an A/B test where short autoplay video previews were enabled i...
Calculate Engagement Metrics for Info-Stream Content Analysis
info_stream_views +----------+-----------+--------------+----------+------------+ | post_id | viewer_id | relationship | duration | ds | +---...
Analyze Recent User Engagement in Video Calls
calls +-----------+-----------+---------------------+---------+---------+ | caller_id | callee_id | call_start_timestamp| country | call_id | +-------...
Calculate Weekly Thread Engagement with Reactions in SQL
messages +------------+--------+----------+--------------+---------------------+ | message_id | sender | receiver | has_reaction | timestamp ...
Calculate Weekly CTR and Campaign-Specific CTR in SQL
AdEvents ad_id | campaign_id | event | view_id | event_date 1 | 10 | impression | 123 | 2023-11-07 1 | 10 | cli...
Identify Unique Callers and French Customer Call Percentage
video_calls +---------+-----------+--------------+---------------------+---------------+ | call_id | caller_id | recipient_id | start_ts | ...
Calculate French User Engagement and U.S. Call Duration
call_logs +---------+-----------+------------+---------+----------+ | caller | recipient | ds | call_id | duration | +---------+-----------+-...
Calculate Video Call Usage Metrics by Country and Date
video_calls +---------+-----------+------------+---------+----------+ | caller | recipient | ds | call_id | duration | +---------+-----------...
Analyze Distribution of Daily Page Shares Per User
Engagement Distributions and Cohort Dynamics You are analyzing per-user, per-day engagement. Assume a day-level panel with all users included (inactiv...
Determine Metrics to Evaluate Notification Impact on Users
Evaluating Push Notifications and a New Event-Based Notification Context You are a data scientist at Facebook working on push notifications. Facebook ...
Calculate Survey Response Rate and Quality Metric in SQL
survey_responses +---------+----------+---------------------+---------------------+-------+ | user_id | survey_id| impression_ts | click_ts ...
Identify Probability Distributions for Modeling Ad Clicks
Context You are interviewing for a data scientist role on an ads team. You are asked to demonstrate knowledge of common probability models for clicks,...