Apache Spark 3 for Data Engineering and Analytics with Python - Map and Flat Map Transformations

Apache Spark 3 for Data Engineering and Analytics with Python - Map and Flat Map Transformations

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers two RTD transformations: map and flat map. It begins with an introduction to these transformations, followed by a detailed explanation of the map transformation, including an example where a list of numbers is squared and transformed into a list of tuples. The tutorial then demonstrates how to create and print a transformed RDD using the map function. Finally, the flat map transformation is introduced, showing how it can flatten a list of words into a list of letters.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of the map transformation in RTD?

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