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."
Write SQL for deliveries analytics
Write SQL for the following analytics tasks. Assume a PostgreSQL-like dialect unless otherwise stated. Treat "today" as 2025-09-01. Schema: - users(us...
Aggregate D1 retention cohorts in SQL
Today is 2025-09-01. Using SQL (optionally outline a pandas approach too), compute daily engagement and D1 retention for the last 7 days (2025-08-26 t...
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Build DiD dataset with SQL
Using the schema and sample data below, write SQL to build an individual-day panel suitable for staggered-adoption DiD of the shuttle’s effect on part...
Compute video-call SQL metrics with edge cases
Use 'today' = 2025-09-01. Assume UTC timestamps. Write SQL to answer both parts below and call out how your queries handle edge cases (duplicates, fai...
Write SQL for visibility, calls, and cohort activity
You have the following schema and toy data. Assume "today" = 2025-09-01. users(user_id INT, signup_date DATE) Sample: user_id | signup_date -------...
Compute same-day acceptance metrics last week
Assume today is 2025-09-01; interpret 'last week' as 2025-08-25 through 2025-08-31 inclusive, using UTC dates. You have the following schema and sampl...
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Add a conditional column in Python
Using pandas, add a derived column to a table based on multiple conditions with strict precedence and missing-value handling. Given the sample DataFra...
Find most co‑purchased product pairs in SQL
Given the schema and sample data below, write ANSI-SQL to return the top 5 unordered product pairs most frequently purchased together across distinct ...
Define and compute shop visibility in SQL
You own the 'shop visibility' KPI for a marketplace. Define a precise metric and write SQL to compute it over the last 7 days (use today = 2025-09-01,...
Write SQL for retention, conversion, and churn
Assume today is 2025-09-01 (use the user's local day boundaries based on users.tz). Given the following schema and sample data, write SQL to: (a) Comp...
Write SQL to analyze response accuracy and speed
You are given response-level data for an online assessment with sections verbal/design/analytics and verbal subtypes grammar/vocab/tense/other. Using ...
Manipulate data efficiently in Python
Answer the following: (a) Contrast list comprehensions and generators with respect to memory and evaluation; write a generator that yields rolling win...
Query conversion and retention with SQL windows
Schema and sample data (PostgreSQL): users(id, signup_date, country) 1 | 2025-08-20 | US 2 | 2025-08-25 | US 3 | 2025-08-27 | CA 4 | 2025-08-30 | US 5...
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...
Aggregate weekly revenue and attribute 4% drop
Write SQL over the following schema to: (A) compute weekly revenue by ISO week (Monday–Sunday) from orders, excluding cancelled/refunded; revenue_usd ...
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...
Compute rolling cold-delivery rates with windows
Assume a food-delivery platform with the following schema. Use PostgreSQL. A delivery is considered "cold" if food_temp_c < 40 at dropoff OR there is ...