PySpark and AWS: Master Big Data with PySpark and AWS - Total Passed and Failed Students

The video tutorial explains how to analyze student data to determine the number of students who have passed or failed based on a threshold of 50 marks. Two methods are discussed: using filters to count students directly and subtracting the number of passed students from the total to find the number of failed students. The tutorial includes a practical implementation in an IDE, demonstrating how to apply these methods programmatically. The video concludes with a verification of results and a summary of the analysis process.

What is the minimum mark required for a student to pass?

• 55

• 40

• 45

• 50

Which method involves filtering students based on their marks?

• Using a random selection

• Using a filter for marks greater than 50

• Subtracting passed from total

• Counting all students

In the filtering method, what is the purpose of converting marks to an integer?

• To ensure accurate comparison

• To save memory

• To increase speed

• To make it readable

How can you verify the total number of students using the filtering method?

• By dividing passed by failed

• By adding passed and failed counts

• By subtracting failed from passed

• By multiplying passed and failed counts

What is the alternative method to find the number of failed students?

• Multiplying passed and failed counts

• Subtracting passed from total students

• Adding passed and failed counts

• Dividing total by passed