Data Manipulation (SQL/Python) Interview Questions
Practice 656 real Data Manipulation (SQL/Python) interview questions. From companies including Meta, Amazon, TikTok, DoorDash, Capital One. For roles like Data Scientist, Software Engineer, Data Engineer, Business Intelligence Engineer.
"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."
Count unconnected posts and reactions
You are analyzing a newly launched feed feature intended to improve engagement by showing more unconnected content. Assume the following tables: - pos...
Calculate Order Request Metrics
You are working with DoorDash order and delivery-request data. Write SQL to answer the questions below. Tables: 1. orders - order_id BIGINT, primary k...
Query departments and top earners
You are given three tables: 1. company - employee_id INT - first_name VARCHAR - last_name VARCHAR - department VARCHAR - salary DECIMAL...
Write SQL for reply-based recipient metrics
You work on a social product and are given two tables. Assumptions (use these unless you state otherwise): - All timestamps are in UTC. - A “reply” is...
Analyze Pirated Theme Usage Impact
An e-commerce platform lets shops install marketplace themes. Some themes are paid, and a shop should have a valid purchase/license before using a pai...
Compute ad impression conversion rates
You are given two tables for an ads product. Table: ad_impressions | Column | Type | Description | |---|---:|---| | impression_id | STRING | Unique id...
Write SQL for repeat churn
Write a SQL query to measure the performance of a free-month promotion experiment. Assume experiment_users already contains only users who were eligib...
Compute a Seven-Day Rolling Average
You are analyzing daily product metrics for the Fetch mobile app. Table daily_metric_values | Column | Type | Description | |---|---:|---| | metric_da...
Count heavy callers in 7 days
You are given two tables. users - user_id BIGINT PRIMARY KEY - country_code STRING calls - call_id BIGINT PRIMARY KEY - caller_id BIGINT - recipient_i...
Calculate Cohort Retention
You are given two tables: users - user_id BIGINT PRIMARY KEY - signup_ts TIMESTAMP user_events - user_id BIGINT - event_ts TIMESTAMP - event_name VARC...
Analyze spend cohort and source shifts
You work on an ads platform. Assume all timestamps are in UTC. Interpret last year as calendar year 2023 and this year as calendar year 2024. Tables: ...
Write SQL for call metrics
You have two tables. calls ( call_id BIGINT, sender_id BIGINT, receiver_id BIGINT, call_ts TIMESTAMP, picked_up BOOLEAN, call_type VARCHAR...
Compute churn with re-subscriptions
You are analyzing a free-month subscription experiment. Assume experiment eligibility has already been computed; every user in the experiment table is...
Find Top-5 Similar Rows
You are given two point-in-time snapshot tables generated on the same day in UTC. There is no direct key relationship between the tables; each row in ...
Clean and Merge Housing Data
You are given two pandas DataFrames from a house-price screening exercise. house_sales_raw - listing_id INT - sale_price FLOAT, nullable in rows reser...
Find high-value crypto users and top CTR
You are given three tables. Assume all timestamps are stored in UTC. - users(user_id BIGINT PRIMARY KEY, create_date TIMESTAMP): one row per user acco...
Analyze spend and creation-source shifts
You are working with ads data. Assume the following tables, with all timestamps interpreted in UTC. - advertisers(advertiser_id BIGINT, advertiser_cat...
Compute High-Call Usage Rates
You are given two tables for a voice-calling product: users - user_id BIGINT - country_code STRING calls - call_id BIGINT - caller_id BIGINT - recipie...
Analyze Restaurant Customer Metrics
You are given two tables for a food delivery platform. orders( - order_id BIGINT - customer_id BIGINT - restaurant_id BIGINT - order_ts TIMESTAMP - or...
Find least active countries
You are given an ads activity table. Table: ad_activity - ad_id BIGINT — unique ad identifier - advertiser_id BIGINT — advertiser that owns the ad - c...