PySpark and AWS: Master Big Data with PySpark and AWS - Total Marks per Course

The video tutorial explains how to calculate the total marks achieved by students per course using key-value pairs and the reduce by key function. It demonstrates the process of mapping course names to their respective marks and then summing these marks using a Lambda function. The tutorial concludes with a brief overview of the next steps, which involve calculating average marks per course.

What is the purpose of creating a key-value pair in the context of calculating total marks per course?

• To identify the course and its total enrollment

• To map each student to their respective marks

• To associate each course with the total marks achieved

• To list all courses alphabetically

Which column is used to identify the course name when creating key-value pairs?

• Column 3

• Column 0

• Column 5

• Column 1

What is the next step after collecting the key-value pairs in the transformation process?

• Sorting the data by marks

• Applying a filter to the data

• Saving the data to a file

• Removing the 'collect' function

What is the main function of the 'reduce by key' operation in this context?

• To filter out courses with low marks

• To duplicate the key-value pairs

• To sum up the marks for each course

• To sort the courses by name

What will be covered in the next video following this tutorial?

• Filtering courses based on student feedback

• Calculating the total enrollment per course

• Listing all courses with their descriptions

• Syncing total marks and enrollment to find average marks