Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 3 – Brief

The video tutorial recaps previous lessons and introduces a final challenge where students use data from past challenges to answer business questions. Tasks include reading 2019 sales data into a data frame and answering questions about sales performance, city sales, advertisement timing, and product pairings in New York. Students are encouraged to solve the challenge independently, using resources like Google and comparing solutions in the next lesson.

What is the primary task in the final challenge?

• Read sales data from 2020

• Read sales data from 2019

• Analyze customer feedback

• Develop a new data frame library

Which city-related question needs to be answered in the challenge?

• Which city had the most tourists?

• Which city had the highest population?

• Which city had the best weather?

• Which city had the most sales?

What is the focus of the third business question?

• Best time to conduct a survey

• Best time to display advertisements

• Best time to hold a sale

• Best time to launch a new product

What should you do if you get stuck during the challenge?

• Wait for the next lesson

• Consult Google for relevant Spark functions

• Skip the question

• Ask a friend for help

What is recommended after completing the challenge?

• Submit your work immediately

• Compare your solution with the teacher's

• Start a new challenge

• Ignore the teacher's solution