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 to rank advertisers and profitability
You are given two denormalized tables. Use ANSI SQL (CTEs allowed) and UNPIVOT (or an equivalent UNION ALL approach if UNPIVOT is unavailable). Table:...
Write SQL and Python for funnels/retention
Given the following schema and small samples, answer Parts A–C. Assume timestamps are UTC and "today" is 2025-09-01. Schema: users(id INT, country STR...
Create and query an e-commerce schema
PostgreSQL only. 1) Create these tables with appropriate types and constraints (choose minimal correct types): products(product_id PK, name NOT NULL, ...
Write SQL to find top net-revenue products
Using the sample schema and data below, write a single SQL query that returns, for the last 7 days relative to today (use today = 2025-09-01, so the w...
Analyze time-zoned events with pandas
You are given two pandas DataFrames. events columns: user_id:int, ts:str ISO-8601 with timezone (e.g., '2025-08-31T23:58:43-07:00'), event:str in {'si...
Write SQL to compute shop visibility share
Assume today is 2025-09-01. Compute the top 3 shops by average daily visibility share over the last 7 days (2025-08-26 to 2025-09-01, inclusive) for U...
Use pandas to aggregate, pivot, and label
Given two pandas DataFrames, write code to: (1) merge and aggregate revenue; (2) produce a 2x2 pivot; (3) compute per-state counts with value_counts, ...
Write SQL for dedup and purchase shares
You are given two tables with intentional duplicates. Write SQL to: (a) identify duplicate user_ids and produce a canonical, deduplicated users set; (...
Compute leakage-safe rolling features in pandas
Using pandas on a 50M-row monthly panel with columns [loan_id, msa, month, property_type, delinquent_90dpd (0/1), upb], create features for each loan-...
Compute shop visibility and intent metrics in SQL
Schema (PostgreSQL). Tables: users(user_id) shops(shop_id, shop_name, merchant_type) posts(post_id, shop_id, is_shoppable BOOLEAN, created_at TIMESTAM...
Label game performance by margin
Given a games DataFrame (or R data.frame) with columns: team_id, opponent_team_id, team_score, opponent_team_score, write code to: (1) Define a functi...
Compute churn metrics and rank top students
You have two tasks. Part A (R): You receive a Customers CSV with columns: id (INT), signup_date (YYYY-MM-DD), last_active_date (YYYY-MM-DD), churned (...
Diagnose zero IE uploads with SQL
On 2025‑09‑01 ('today'), the dashboard shows image uploads for Internet Explorer (IE) dropped to zero. Write SQL to (a) determine if this is a technic...
Compute multi-account activity and unread percentages in SQL
You are given two tables. Use them as the source of truth and do not assume any other data. Table: notifications +--------+------------+------------+-...
Implement a Python test harness
Implement a Python test harness Implement a Python-based test harness for graphics validation. Discuss design of fixtures, parametrization, dependency...
Create SQL Queries for Sales and Customer Analysis
SALES +----------+----------+------------+------------+----------+---------+ | sale_id | store_id | product_id | sale_date | quantity | revenue | +-...
Calculate User Deviation from Team Average Messages
usage_stats +---------+---------+---------------+------------+ | user_id | team_id | messages_sent | date | +---------+---------+---------------...
Identify Transactions During 'Golden' Membership Period
transaction +-----------+---------+------------+---------+ | trans_id | user_id | trans_date | amount | +-----------+---------+------------+--------...
Compute 30-day power users and 7-day retention
Compute 30-day power users and 7-day retention You are interviewing for a Product/Risk Data Scientist role at a crypto exchange. Assume all timestamps...
Count Recent High-Volume Call Users
This question evaluates SQL data manipulation and analytical querying skills, including time-window filtering, joins between user and call tables, rol...