Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 1 - Data Preparation

What is the first task in the project challenge?

• Create a new Spark session

• Import necessary libraries

• Print the schema

• Download sales data

Which library is imported to create a Spark session?

• Matplotlib

• Pandas

• PySpark

• NumPy

What is the purpose of using StructType in the data schema?

• To define the data types of fields

• To import data from CSV

• To visualize data

• To create a new Spark session

What should be done after downloading the sales data zip file?

• Import libraries

• Print the schema

• Extract the zip file

• Create a new Spark session

Which format is used to read the sales data files?

• Parquet

• CSV

• XML

• JSON

What is the purpose of setting the 'header' option to true when reading CSV files?

• To include column names

• To ignore the first row

• To speed up the reading process

• To convert data to JSON

What is the final step after reading the sales data into a DataFrame?

• Download the sales data

• Import libraries

• Create a new Spark session

• Print the schema