PySpark and AWS: Master Big Data with PySpark and AWS - RDD (Count and CountByValue)

PySpark and AWS: Master Big Data with PySpark and AWS - RDD (Count and CountByValue)

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers the concept of actions in Spark, focusing on the count and count by value actions. It begins with an introduction to actions, explaining their role in executing transformations and providing final outputs. The tutorial then delves into the count action, detailing its syntax and usage to determine the number of elements in an RDD. Following this, the count by value action is explored, highlighting its functionality in counting occurrences of each value in an RDD. Practical examples are provided to illustrate these concepts, enhancing understanding and application in Spark.

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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 'collect' action in Spark RDD?

To count the number of elements

To collapse the data

To trigger all transformations and return the final output

To repartition the data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which action in Spark RDD returns the number of elements present in an RDD?

collect

repartition

count

collapse

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the syntax for using the 'count' action in Spark RDD?

RDD.repartition()

RDD.count()

RDD.collapse()

RDD.collect()

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the 'count by value' action differ from 'reduce by key'?

It provides the count of each unique value

It reduces the data by a specific key

It groups the data by a specific key

It collapses the data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the 'count by value' action return?

The collapsed data

The repartitioned data

The count of each unique value in the RDD

The total number of elements

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In what scenario might you choose to use transformations over actions in Spark RDD?

When you need to count the number of elements

When you want to minimize the use of actions

When you need to collapse the data

When you want to trigger all transformations

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What flexibility does Spark RDD offer when working with data?

It mandates the use of 'count by value'

It allows only actions to be used

It restricts the use of transformations

It offers a choice between using transformations and actions based on requirements