Meta Data Scientist Data Manipulation (SQL/Python) Interview Questions
Practice 149 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."
Join datasets and compute conversion by assignment
You are given two CSVs. Create tables and write SQL to produce both visit-level and visitor-level conversion datasets, then aggregate conversion by as...
Calculate Daily Harmful Content View Percentage
VIDEOS +----+-------------+------------+ | id | uploader_id | is_harmful | +----+-------------+------------+ | 1 | 101 | true | | 2 | ...
Rank Ads by Conversion Rate for Top 10 Performers
ad id | advertiser_id | created_at 1 | 101 | 2023-07-01 2 | 102 | 2023-07-05 3 | 101 | 2023-07-10 impression id | a...
Analyze Top Call Initiators and Active French Video Callers
calls +---------+-----------+-------------+---------------------+---------+-----------+ | call_id | caller_id | receiver_id | call_start_time | co...
Compute High-Call Usage Rates
You are given two tables for a voice-calling product: users - user_id BIGINT - country_code STRING calls - call_id BIGINT - caller_id BIGINT - recipie...
Compute active ad revenue by creation source
You work on an ads platform and need to report active ad revenue broken down by the ad’s creation source. Tables ads - ad_id BIGINT PK - advertiser_id...
Analyze spend and creation-source shifts
You are working with ads data. Assume the following tables, with all timestamps interpreted in UTC. - advertisers(advertiser_id BIGINT, advertiser_cat...
Calculate French User Engagement and U.S. Call Duration
call_logs +---------+-----------+------------+---------+----------+ | caller | recipient | ds | call_id | duration | +---------+-----------+-...
Analyze Hashtag Follow Behavior with SQL Queries
following_behavior +------------+---------+-----------+---------------+ | date | user_id | hashtag_id| hashtag_source| +------------+---------+-...
Calculate Response Rate and Compare User Survey Ratings
USERS user_id | signup_date 10 | 2024-03-20 11 | 2024-04-01 12 | 2024-04-05 SURVEYS survey_id | user_id | sent_at 1 | 10 ...
Analyze spend cohort and source shifts
You work on an ads platform. Assume all timestamps are in UTC. Interpret last year as calendar year 2023 and this year as calendar year 2024. Tables: ...
Compute this-year spend share of last-year whales
Context You work on an ads analytics dataset. Assume all timestamps are in UTC, and “last year” / “this year” refer to the previous/current calendar y...
Analyze Social Media Engagement with SQL Queries
info_stream_views +----------+---------+-----------+-------------------------+-----------------------+------------+ | view_id | post_id | viewer_id |...
Analyze Bookstore Data to Identify Top Payment Methods
books +---------+------------+----------+-------+ | book_id | title | author_id| price | +---------+------------+----------+-------+ | 1 | ...
Write SQL to analyze shop visibility
You are given two tables. Use standard SQL (window functions allowed). Assume "today" is 2025-09-01 and that “currently visible” means a shop’s last s...
Define and query shop visibility
You are given the following schema. Use only the columns provided; do not introduce new fields or labels. Tables and columns: - shops(shop_id INT, sho...
Write SQL filtering, grouping, CASE, UNION tasks
Use the following schema and sample data to answer all parts. Assume standard ANSI SQL and that amounts are DECIMAL. Table: orders +----------+-------...
Compute CTR overall and by campaign type
Write SQL to compute: (Q1) overall click-through rate (CTR = clicks/impressions) in the last week; (Q2) CTR by campaign_type in the last week. Assume ...
Write SQL to compare exclusive category engagement
You are given session-level data and must compare engagement between users who exclusively used the 'social' category versus those who exclusively use...
Write SQL for shop visibility and activity metric
Assume 'today' is 2025-09-01. Schema and tiny samples: 1) shops(shop_id INT, created_at DATE) Sample: shop_id | created_at 1 | 2025-08-25 2 | 2025...