What is the primary purpose of the map transformation in RTD?
Apache Spark 3 for Data Engineering and Analytics with Python - Map and Flat Map Transformations

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To reduce the number of records
To apply complex operations while maintaining the same number of records
To sort the data
To filter out unwanted data
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the example of squaring numbers, what is the role of the Lambda function?
To filter out even numbers
To create a new list of numbers
To define the operation for squaring each number
To sort the numbers in ascending order
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the map transformation return when applied to a list of numbers?
A list of strings
A single number
A list of tuples with original and squared numbers
A list of numbers
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the word transformation example, what additional information is stored in the tuple besides the word itself?
The first letter of the word
The last letter of the word
The number of vowels in the word
The length of the word
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the key difference between map and flat map transformations?
Flat map can only be used with numbers
Map returns a flattened structure
Flat map can flatten nested structures
Map is faster than flat map
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the flat map transformation handle a list of words?
It duplicates each word
It converts each word into a list of letters
It sorts the words alphabetically
It filters out words with less than 3 letters
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the output of the flat map transformation in the given example?
A list of words
A list of sentences
A list of numbers
A list of letters
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