Apache Spark 3 for Data Engineering and Analytics with Python - RDD Actions

The video tutorial covers the concept of actions in data transformations, focusing on the reduce action. It explains how reduce aggregates values into a single result using examples like summing numbers and finding the longest word. The tutorial also dissects lambda functions used in reduce and demonstrates finding minimum and maximum values in a list.

What is the primary purpose of the reduce action in Spark?

• To filter out unwanted data

• To sort data in ascending order

• To transform data into a new format

• To aggregate values into a single result

Which function is used in the example to sum up a list of numbers?

• collect

• reduce

• filter

• map

In the reduce function, what does the lambda function do?

• It filters out even numbers

• It sorts the numbers

• It multiplies two numbers

• It adds two numbers together

What is the role of the X variable in the lambda function used in the reduce action?

• It stores the next element in the list

• It stores the first element of the list

• It stores the accumulation of values

• It stores the last element of the list

How does the reduce function determine the longest word in a list?

• By checking the alphabetical order

• By comparing the length of each word

• By counting the number of vowels

• By counting the number of consonants

What is the result of getting the first element from the words RDD?

• The longest word

• The last word in the list

• The shortest word

• The first word in the list

What is the maximum value obtained from the list of values in the example?

• 15

• 10

• 25

• 20