Apache Spark 3 for Data Engineering and Analytics with Python - Reading a JSON File

Apache Spark 3 for Data Engineering and Analytics with Python - Reading a JSON File

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial introduces JSON, a lightweight data format, and its nested structure. It demonstrates creating headings in Markdown, importing data types, and defining a schema in PySpark. The tutorial guides viewers through reading a JSON file into a DataFrame, highlighting the use of multiline options and schema printing. The lesson concludes with a preview of upcoming topics on columns and expressions.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does JSON stand for?

Java Syntax Object Notation

JavaScript Oriented Network

JavaScript Online Notation

JavaScript Object Notation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of JSON files?

They are only used for images

They are not human-readable

They are binary files

They can represent nested data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an example of a nested field in a JSON file?

An integer ID

A boolean value

A list of favorite movies

A single string value

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you create an H2 heading in Jupyter Lab using markdown?

Using two hash symbols

Using a single hash symbol

Using three hash symbols

Using four hash symbols

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which data type is used to represent a list of elements in PySpark?

BooleanType

StringType

IntegerType

ArrayType

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of setting 'nullable' to true in a schema?

To allow null values in the field

To prevent null values in the field

To convert all values to strings

To ensure all values are unique

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in reading a JSON file into a DataFrame in PySpark?

Printing the schema

Creating a schema

Downloading the JSON file

Setting the file path

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