Meta Analytics & Experimentation 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.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"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."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"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."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"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."
Calculate Daily Visibility Score for Each Shop
shop_events | user_id | event_time | event_type | product_id | shop_id | |---------|------------|------------|------------|---------| | 101 | 2023...
Evaluate Success of 'Similar Listings' Notification Feature
Evaluate Success of 'Similar Listings' Notification Feature Marketplace Analytics Case: "Similar Listings You May Like" Notifications Context You work...
Solve Data-Structure Problems in Python Interview Round
Scenario Interview coding round focusing on simple data-structure problems in Python. Question Given an integer, rearrange its digits (considering onl...
Retrieve Top Five Ads by Conversions in 30 Days
ads ad_id | advertiser_id | created_at 1 | 101 | 2024-06-01 2 | 102 | 2024-06-03 3 | 101 | 2024-06-10 ad_i...
Analyze Bookstore Data to Identify Top Payment Methods
books +---------+------------+----------+-------+ | book_id | title | author_id| price | +---------+------------+----------+-------+ | 1 | ...
Identify Features for Fake News Detection on Facebook
Identify Features for Fake News Detection on Facebook Design a Machine-Learning System to Flag Fake News on Facebook Scenario An increase in fake news...
Forecast Next Year's Revenue Using YoY% Analysis
ad_revenue +------------+---------+ | date | revenue | +------------+---------+ | 2023-01-01 | 1000 | | 2023-01-02 | 1200 | | 2024-01-01 |...
Identify 3-Person Call Cycles in Video-Calling App
Calls callerid | recipientid | ds | call_id | duration 1001 | 2001 | 2023-02-20| 555 | 180 2001 | 3001 | 2023-02-20| ...
Optimize Travel Costs and Generate Rotational Symmetric Numbers
Scenario You are building a travel-search engine that must 1) show customers the cheapest round-trip they can book if departure and return prices vary...
Analyze Social Media Engagement with SQL Queries
info_stream_views +----------+---------+-----------+-------------------------+-----------------------+------------+ | view_id | post_id | viewer_id |...
Calculate Response Rate and Compare New vs. Existing User Scores
survey_events +---------+------------+-----------+--------------+---------------------+ | user_id | is_new_user| responded | survey_score | event_time...
Analyze Mobile Promo Orders with SQL Query and Metrics
orders +-----------+---------+--------------+------------+-----------+----------+ | order_id | user_id | order_amount | order_date | is_mobile | is_p...
Analyze Cross-Country Call Data for Recent Trends
Users +---------+-------------+----------+ | user_id | signup_date | country | +---------+-------------+----------+ | 1 | 2021-01-04 | US ...
Calculate Distinct High-View Posts and Spam View-Prevalence
content_views | user_id | post_id | view_count | view_date | | 101 | 572 | 3 | 2021-11-01 | | 102 | 732 | 5 | 2021-1...
Analyze User Engagement and Spammer Read-Rate in SQL
messages +------------+------------+-------------+--------------+-----------+ | sender_id | receiver_id| message_id | sent_date | read_date | +--...
Calculate Shop Visibility Ranking in Search Results
shop_impressions +------------+---------+----------+--------+ | date | shop_id | position | clicks | +------------+---------+----------+--------...
Design an Experiment to Evaluate New Recommendation Model
This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a rea...
Identify Duplicate Posts by User and Date
posts +---------+---------+---------------------+---------------+ | post_id | user_id | created_at | content | +---------+---------+---...
Calculate and Compare Survey Response Rates for User Tenure
Surveys +--------+------------+--------------+----------+ | userid | date | survey_event | response | +--------+------------+--------------+----...
Analyze Recent User Activity from Video Call Logs
video_calls caller | recipient | ds | call_id | duration 123 | 456 | 2019-01-01 | 4325 | 864.4 032 | 789 | 2019-01-01 | 9395 | 263.7 456 | 032 | 2019-...