SQL + Data Manipulation (SQL/Python) Interview Questions
Practice the exact questions companies are asking right now.
"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."
Aggregate video time and unique pins in Python
Part A (category by average time for videos): You receive a list of pin engagement rows and a category map. pins = [ {"pin_id": 10, "category_id": 1,...
Compute CTR by format for new US users
You are given three tables. Write a single SQL query to compute click-through rate (CTR) by pin_format for NEW users in the US, where NEW users are th...
Compute daily net users from event logs
Given an event log, write SQL to compute, for the target date 2025‑09‑01 ("today"), the counts of new users, retained users, churn users, and net user...
Write SQL for rolling frequency caps
You work on ad serving with per-user rolling 7-day frequency caps at the campaign level. Assume "today" is 2025-09-01 and t0 = 2025-09-01 12:00:00 UTC...
Compute multi-account user distribution and unread pct
You are working on a product where a user can have multiple accounts, and each account can receive notifications. Tables Assume the following schemas:...
Write Queries for Pinterest Engagement Tasks
You are given several data-manipulation tasks based on Pinterest-style product data. Use UTC for all timestamp-to-date conversions unless stated other...
Build the auction status table
This question evaluates SQL data manipulation skills and relational querying competencies, including joins, aggregations, NULL handling, and identifyi...
Write SQL using HAVING and window functions
This question evaluates SQL data manipulation competency, focusing on aggregation filtering with HAVING and the use of window functions for running co...
Compute pirated-theme usage and revenue loss
This question evaluates SQL data manipulation and time-series analytics skills, focusing on interval overlap logic, aggregation of distinct entities, ...
Find top 3 books by total borrowed time
Using copies(copy_id, book_id) and checkouts(copy_id, checkout_date, return_date), compute for each book_id the total borrowed duration as the sum ove...
Find returning users from access logs
Given a large user access log, parse it and identify which user_ids are returning customers—i.e., they have at least one visit on two or more distinct...
Evaluate SQL expressions for zero
Which of the following SQL expressions evaluate to 0? Evaluate each independently, justify the result, and note any dialect-specific behavior (e.g., M...
Calculate Pirated Usage and Revenue Loss
You are analyzing theme piracy on an e-commerce platform. Assume the analysis window is 2023-01-01 through 2023-12-31, all timestamps are stored in UT...
Parse CSV and format transactions
Given a CSV file containing many transactional records with columns Merchant, Amount, Date (YYYY-MM-DD), and Status, write a script to parse the file ...
Calculate minutes between two time strings
Given two times t1 and t2 in "HH:MM" 24-hour format on the same day with t2 > t1, compute the difference in minutes. Show how you parse the strings, c...
Parse a deeply nested JSON
Parse a deeply nested JSON Given a JSON document with approximately five levels of nesting, write code to traverse it and extract specified fields whi...
Calculate User Revenue and Session Duration in Python
events +---------+------------+---------+---------------------+ | user_id | event_type | revenue | timestamp | +---------+------------+-----...
Analyze Monthly Prime vs Non-Prime Sales and Price Buckets
sales +-----------+------------+----------+-------+ | order_id | order_date | is_prime | price | +-----------+------------+----------+-------+ | 1001...
Analyze Transactions and Classify by Amount in SQL
transactions +---------------+---------+--------+---------+---------------------+-----------------+ | transaction_id| user_id | amount | status | ts ...
Explain Window Functions and Joins in SQL and Python
TABLE transactions | transaction_id | user_id | merchant | amount | currency | transaction_ts | | 1001 | 17 | Walmart | 45.80...