Meta Analytics & Experimentation Interview Questions
Practice 1,129 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"
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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."
"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."
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"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."
Query carpool ride metrics
Question For a ride-sharing product with carpool capability, answer a series of SQL questions (e.g., daily completed pooled rides, average seats utili...
Maximize vacation streak with PTO
Question Given an array of characters containing 'w' (workday) and 'h' (holiday) and an integer n representing the number of PTO days you can convert ...
Design Metrics to Track and Analyze Spam Impact
Scenario A messaging product team wants to reduce spam without harming normal user experience. You do not have access to a ground-truth spam classifie...
Analyze User-Comment Distribution to Understand Engagement
Meta DSPA Analytics Exercise: Comment Engagement Distribution Context You have three canonical tables for a social product: - users(user_id, join_date...
Identify Top Three Active Users by Event Date
event_log +------------+---------+-----------+---------------------+ | event_date | user_id | event_type| event_timestamp | +------------+--------...
Improve YoY Revenue Analysis with Complementary Metrics
ads_revenue +------------+-----------+ | date | revenue | +------------+-----------+ | 2023-01-01 | 120000 | | 2023-02-01 | 125500 | | 2...
Analyze Ad CTR and Convert Transactions to USD
AdsImpressions +-----------+---------+------------+--------+-----------+ | user_id | ad_id | impressions| clicks | event_dt | +-----------+------...
Improve Team Dynamics: Addressing Unwelcoming Behavior Effectively
Behavioral & Leadership (Meta, Data Scientist) — Onsite Scenario You are interviewing for a Data Scientist role and will be evaluated on past workplac...
Calculate Expected Comments and Confidence Interval Analysis
Scenario You are analyzing the distribution of comment counts per post for a social platform feature over a fixed time window. Let X be the random var...
Analyze Top Call Initiators and Active French Video Callers
calls +---------+-----------+-------------+---------------------+---------+-----------+ | call_id | caller_id | receiver_id | call_start_time | co...
Analyze Oculus App Engagement with SQL Queries
AppUsage +---------+--------+-----------+--------------+------------+ | user_id | app_id | category | minutes_spent| usage_date | +---------+--------...
Analyze Video View Distribution: Mode, Median, Mean Comparison
Scenario You are analyzing user engagement on a short-video sharing product. The team needs statistical insights into how views and shares behave acro...
Define and Measure Effective Read on Newsfeed
Designing an "Effective Read" Metric for a Newsfeed Scenario You are tasked with defining and measuring an "effective read" for posts in a social news...
Evaluate Fake-Account Classifier with Precision and Recall Metrics
Evaluating a Fake-Account Classifier in Production Scenario You have trained a model that flags fake accounts. Leadership wants clear, defensible evid...
Estimate Fake Accounts Using Data Signals and Sampling
Estimating Fake Accounts on a Social Network Background A large social platform wants to estimate the proportion and absolute count of fake accounts o...
Reflect on Conflict Resolution and Key Learnings
Behavioral Interview Prompts (Data Scientist, Onsite) Instructions Use the STAR framework (Situation, Task, Action, Result). Focus on impact, metrics,...
Evaluate New Ad Model with A/B Testing Experiment
Evaluate a New Ads Recommendation Model via Online Experimentation Scenario You have trained a new ad-recommendation model and must decide whether it ...
Analyze User Engagement and Spammer Read-Rate in SQL
messages +------------+------------+-------------+--------------+-----------+ | sender_id | receiver_id| message_id | sent_date | read_date | +--...
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| ...
Calculate Response Rate and Compare New vs. Existing User Scores
survey_events +---------+------------+-----------+--------------+---------------------+ | user_id | is_new_user| responded | survey_score | event_time...