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."
Compute multi-account actives and unread coverage
You have two tables. Table: notifications +--------+------------+------------+-------------------+--------+ | userid | ds | time | notification_type |...
Compute feed ad frequency and retention in SQL
Assume today is 2025-09-01. Schema and tiny samples: feed_impressions(impression_id, user_id, impression_time, content_type, feed_position, session_id...
Posts and Replies Engagement
Posts and Replies Engagement A content platform stores user-generated posts and the replies that those posts receive. You need to answer two questions...
Find multi-account buckets and unread rate
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Write SQL for Pixel Signal Metrics
You are working on Meta Ads Pixel analytics. Assume all timestamps are stored in UTC, and analyze the last 30 complete calendar days. Tables 1. advert...
Compute SHOP spend share and model performance
You work on ads measurement. Advertisers can drive users to either Facebook Shop ('SHOP') or their own website ('WEBSITE'). After an ad is shown, you ...
Find the most-used app
You work on Oculus app engagement analytics. Tables user_activity - user_id (BIGINT) - date (DATE) — day of activity (assume UTC unless otherwise spec...
Calculate Response Rate and Compare New vs. Existing User Scores
survey_events +---------+------------+-----------+--------------+---------------------+ | user_id | is_new_user| responded | survey_score | event_time...
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...
Calculate Ad Performance with Click-Through and Conversion Rates
impressions +---------+---------+---------------------+-----------+ | user_id | ad_id | event_time | platform | +---------+---------+-----...
Analyze Mobile Promo Orders with SQL Query and Metrics
orders +-----------+---------+--------------+------------+-----------+----------+ | order_id | user_id | order_amount | order_date | is_mobile | is_p...
Analyze Social Media Engagement with SQL Queries
info_stream_views +----------+---------+-----------+-------------------------+-----------------------+------------+ | view_id | post_id | viewer_id |...
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...
Calculate Daily Visibility Score for Each Shop
shop_events | user_id | event_time | event_type | product_id | shop_id | |---------|------------|------------|------------|---------| | 101 | 2023...
Identify Shops with Low Weekly Visibility Rates
SHOP_VISIBILITY +-----------+---------+------------+---------+ | shop_id | user_id | view_date | visible | +-----------+---------+------------+----...
Calculate Total Revenue in USD Using SQL Query
ads_revenue +---------+------------+---------+----------+ | ad_id | country | revenue | currency | +---------+------------+---------+----------+ ...
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 Top Call Initiators and Active French Video Callers
calls +---------+-----------+-------------+---------------------+---------+-----------+ | call_id | caller_id | receiver_id | call_start_time | co...
Compute reply-based user metrics in 7 days
You are analyzing discussions on a social platform. Tables all_post - post_id (BIGINT, PK) - post_author_id (BIGINT, FK → user.user_id) - post_creatio...
Analyze Hashtag Follow Behavior with SQL Queries
following_behavior +------------+---------+-----------+---------------+ | date | user_id | hashtag_id| hashtag_source| +------------+---------+-...