What is the primary role of a Spark session in a Spark application?
Spark Programming in Python for Beginners with Apache Spark 3 - Creating Spark Session

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To manage data storage
To act as the driver
To execute SQL queries
To handle network communication
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to configure the Spark session?
To ensure multiple drivers can run simultaneously
To optimize data storage
To set application-specific settings like app name and master
To enable SQL query execution
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of creating a logger class in a Spark application?
To log messages effectively
To handle network communication
To execute SQL queries
To manage data storage
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you target a specific logger name in Log4J configuration?
By hardcoding the logger name
By passing the name to the logger
By setting the logger name in the Spark session
By using a default logger
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What should you do if you encounter a PY4J network error?
Ignore the error and continue
Restart the Spark session
Reconfigure the Spark session
Comment out the spark stop method
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why are clean log files important in a Spark application?
They help in debugging and monitoring
They enhance network communication
They reduce storage requirements
They improve data processing speed
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of the app logs directory in a Spark project?
It manages network settings
It contains configuration files
It stores the application data
It holds the log files
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