Apache Spark 3 for Data Engineering and Analytics with Python - PySpark DataFrame, Schema, and DataTypes

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Information Technology (IT), Architecture
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in setting up a new Python notebook for PySpark?
Importing data from a CSV file
Creating a new notebook and renaming it
Setting up a Spark session
Defining a schema for the data
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which module is essential to import for creating a Spark session?
pyspark.sql
numpy
pandas
matplotlib
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of using StructType and StructField in PySpark?
To visualize data
To perform data cleaning
To connect to a database
To define the schema and data types for a dataset
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you confirm that a dataset is a list in PySpark?
By using the show() method
By using the print() function
By using the type() function
By using the len() function
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What data type is assigned to the 'salary' field in the schema?
BooleanType
IntegerType
StringType
FloatType
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of a schema in a DataFrame?
To visualize data
To define the structure of rows and columns
To store data in a database
To perform data analysis
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the underlying structure of a DataFrame in PySpark?
A list
A dictionary
A tuple
An RDD
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