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."
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"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."
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Invented schema and sample data below. Assume 'today' is 2025-09-01 and 'last 7 days' means 2025-08-26 through 2025-09-01 inclusive. Only consider lis...
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Write SQL (PostgreSQL) to analyze a 4-step shopping funnel: view_product → add_to_cart → checkout_start → purchase. Use the schema and sample data bel...
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Assume today is 2025-09-01. Using standard SQL (e.g., PostgreSQL), answer the following using window functions only (no procedural loops, no correlate...
Write SQL to detect recurring non-subscription users
You have two tables: merchant and transaction. Assume 'today' is 2025-09-01. Schema: merchant(merchant_id INT PK, merchant_name TEXT, country TEXT, cr...
Calculate annual percentages and YoY by cohorts
Answer both SQL and Python parts. Be precise about deduping and denominator choices. SQL schema (sample rows): orders order_id | user_id | order_date ...
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...
Compute last-to-previous ad impression gaps
Given impressions(ad_id INT, user_id INT, impression_ts TIMESTAMP) with multiple impressions per (user_id, ad_id), write a single SQL query to return,...
Write SQL for snapshot features and labels
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Manipulate data in R with dplyr joins and windows
Using R and dplyr, answer the following using these small tables (dates are ISO strings): transactions(user_id, order_id, order_date, channel, amount)...
Write SQL and pandas for shopping events
Use the schema and sample data below to answer SQL and pandas tasks. Treat 'today' as 2025-09-01. Schema users(user_id INT, country STRING) pins(pin_i...
Write SQL for fares and age-band counts
You have two tables. Schema: - drivers(driver_id VARCHAR PRIMARY KEY, name VARCHAR, date_of_birth DATE) - trips(trip_id VARCHAR PRIMARY KEY, driver_id...
Compute browsing metrics in Python from logs
Given event logs, write idiomatic Pandas to compute segment-level metrics and a funnel. Data schema: events(event_id, ts_utc, guest_id, device in {des...