Spark Programming in Python for Beginners with Apache Spark 3 - Spark Transformations and Actions

Spark Programming in Python for Beginners with Apache Spark 3 - Spark Transformations and Actions

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains the basics of Spark data processing, focusing on dataframes, their immutability, and how transformations and actions work. It covers the concept of narrow and wide dependency transformations, the importance of lazy evaluation, and how actions trigger execution. The tutorial also highlights the creation of a DAG of operations and the role of the Spark driver in optimizing execution plans.

Read more

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key characteristic of Spark Dataframes?

They require manual partitioning.

They are immutable.

They are stored in a single location.

They are mutable.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Spark, what is the purpose of using intermediate variables?

To store data permanently.

To increase execution time.

To break down transformations into smaller steps.

To avoid using Spark sessions.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a Directed Acyclic Graph (DAG) in Spark?

A single node operation.

A linear sequence of tasks.

A cycle of operations.

A graph of operations representing transformations and actions.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of transformation can be performed independently on each partition?

Shuffle transformation.

Narrow dependency transformation.

Sort transformation.

Wide dependency transformation.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a characteristic of wide dependency transformations?

They do not require data from other partitions.

They can be executed independently on each partition.

They are always faster than narrow dependencies.

They require data from other partitions to produce correct results.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What operation is necessary to fix issues caused by wide dependency transformations?

Repartitioning.

Sorting.

Filtering.

Joining.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is lazy evaluation in Spark?

Execution of transformations in parallel.

Execution of actions before transformations.

Execution of transformations only when an action is called.

Immediate execution of transformations.

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?