Meta Data Scientist Data Manipulation (SQL/Python) Interview Questions
Practice 151 real Data Manipulation (SQL/Python) interview questions for Data Scientist roles at Meta.
"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."
Label new vs old users over time in SQL
Define users as “new” during the first 30 days inclusive after their signup_date, and “old” thereafter. Produce per-user, per-day labels over a window...
Compute daily post success rate for last 7 days
You have a table composer(user_id INT, event STRING CHECK(event IN ('enter','post','cancel')), event_date DATE). Compute the post success rate for eac...
Write SQL to compute shop visibility share
Assume today is 2025-09-01. Compute the top 3 shops by average daily visibility share over the last 7 days (2025-08-26 to 2025-09-01, inclusive) for U...
Produce dating profile funnel report by cohort
You work on a dating app. Produce a daily profile-funnel report for 2025-08-25 through 2025-09-01 inclusive, with one row per day, gender, and age_buc...
Write SQL to analyze Group Calls adoption
Write SQL (assume PostgreSQL) to analyze Group Calls adoption and cannibalization. Use this schema and sample data. Schema: - users(user_id INT PRIMAR...
Write SQL for initiators and French DAU%
You are given the following PostgreSQL tables. Assume all timestamps are UTC and "today" is 2025-09-01. For any reference to "last 7 days," use the in...
Write advanced SQL for sales support analytics
Write SQL for the following schema and tasks. Assume ANSI SQL with DATE_TRUNC and INTERVAL supported. Sample tables (minimal rows shown). accounts +--...
Compute shop visibility and intent metrics in SQL
Schema (PostgreSQL). Tables: users(user_id) shops(shop_id, shop_name, merchant_type) posts(post_id, shop_id, is_shoppable BOOLEAN, created_at TIMESTAM...
Compute 7-day views and reactions by relationship
Use the schemas and sample data below to answer two tasks. Assume dates are strings in 'YYYY-MM-DD'. Treat "today" as 2025-09-01; "last/past 7 days" m...
Compute view prevalence from views and labels
Given the tables below, write SQL to compute view prevalence of violating content. Use “today” = 2025-09-01 and report the last 7 days (2025-08-26 to ...
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| ...
Compute Effective Reads with SQL and Python Streaming
post_read_events +----------+---------+-----------+---------+--------------------+---------------------+---------------------+ | event_id | user_id | ...
Analyze Seller Activity and Vehicle Listing Interactions
Analyze Seller Activity and Vehicle Listing Interactions listing_interaction +-----------+-----------+------------+------------+----+ | buyer_id | se...
Calculate Shop Visibility Ranking in Search Results
shop_impressions +------------+---------+----------+--------+ | date | shop_id | position | clicks | +------------+---------+----------+--------...
Analyze User Engagement and Spammer Read-Rate in SQL
messages +------------+------------+-------------+--------------+-----------+ | sender_id | receiver_id| message_id | sent_date | read_date | +--...
Calculate Average Session Duration and Performance Metrics
user_sessions +---------+------------+------+---------------------+---------------------+ | user_id | session_id | app | start_time | end_ti...
Determine Unhealthy Oculus Usage with SQL Analysis
oculus_sessions +---------+---------------------+---------------------+---------+------------+ | user_id | session_start | session_end |...
Calculate Daily Harmful Content View Percentage
VIDEOS +----+-------------+------------+ | id | uploader_id | is_harmful | +----+-------------+------------+ | 1 | 101 | true | | 2 | ...
Generate Daily Unique User Views for Each Shop
shop_views +---------+---------+---------------------+ | user_id | shop_id | view_time | +---------+---------+---------------------+ | 101 ...
Improve YoY Revenue Analysis with Complementary Metrics
ads_revenue +------------+-----------+ | date | revenue | +------------+-----------+ | 2023-01-01 | 120000 | | 2023-02-01 | 125500 | | 2...