PySpark and AWS: Master Big Data with PySpark and AWS - Finding Minimum and Maximum Marks

The video tutorial explains how to map course names to marks using key-value pairs and then use the reduce by key function to group and aggregate data. It demonstrates how to find the maximum and minimum marks using lambda functions. The tutorial concludes with a summary of the results and a preview of the next video.

What is the purpose of creating a map of key-value pairs in the context of this tutorial?

• To sort the courses alphabetically

• To store course names and their corresponding marks

• To list all students enrolled in each course

• To calculate the average marks for each course

Which function is used to group data by course name in this tutorial?

• filter

• map

• sort

• reduce by key

In the implementation, what does the lambda function return when comparing two marks?

• The sum of the two marks

• The greater of the two marks

• The average of the two marks

• The lesser of the two marks

How is the minimum mark determined in the final section of the tutorial?

• By averaging all the marks

• By using a different lambda function that returns the lesser value

• By using a pre-defined constant value

• By subtracting the maximum mark from the total

What is the final output of the tutorial regarding the marks?

• The maximum and minimum marks for each course

• The average marks for each course

• The total number of courses

• A list of all students