AVG, MIN/MAX, SUM SQL Interview Questions

Master the world of data! Dive into 4.1: AVG, MIN/MAX, SUM SQL & Python interview questions and get ready for your SQL interview!

affirm afterpay airbnb amazon apple doordash dropbox ebay facebook google linkedin lyft mobile netflix robinhood roblox snap spotify tiktok twitter uber visa walmart

Window Functions: AVG, MIN/MAX, SUM

ID	Title	Level	FTPR	Lecture
58	Percentage of revenue per movie	hard	8%	4.1
59	Percentage of revenue per movie by category	medium	6%	4.1
60	Movie rentals and average rentals in the same category	hard	9%	4.1
61	Customer spend vs average spend in the same store	hard	11%	4.1
70	Cumulative spend	easy	13%	4.1
71	Cumulative rentals	easy	21%	4.1
108	Free premium membership amazon	hard	16%	4.1
113	Daily cumulative spend amazon	easy	11%	4.1
115	Rolling average revenue amazon	hard	28%	4.1
117	Rolling 7 days total answers amazon	easy	35%	4.1
141	Cumulative sales of restaurant 100011 doordash	hard	15%	4.1
182	Top 5 content by number of watchers netflix	medium	9%	4.1
189	Campaign activation date twitter	medium	19%	4.1

Disclaimer: SQLPad collects questions and their associated data from the internet, but we are not associated with any of the companies or organizations that may be mentioned in these questions. While we strive to provide accurate and up-to-date information, we cannot guarantee the accuracy or completeness of the information provided. Users should exercise their own discretion when using the platform and should not rely solely on the information provided. By using SQLPad, you acknowledge and agree that we are not responsible for any errors or inaccuracies in the information, and that you assume all risks associated with using the platform. You also agree to our terms and conditions.