Kelly is working as a Data Engineer of Whizlabs Inc. She’s working on Databricks Spark job execution using data frames but faces the following error message: 
“Serialized task is too large” 
Which of the following Spark configuration properties is required to be amended?

Answer options:

A.Call parallelize with a large list or convert a large R DataFrame to a Spark DataFrame.
B.Setting this value in the notebook with “spark.conf.set()”
C.Setting up the property – “spark.databricks.delta.preview.enabled” as true
D.Use a job cluster instead of an interactive cluster

Correct Answer: A 
Call parallelize with a large list or convert a large R DataFrame to a Spark DataFrame. 

https://docs.microsoft.com/en-us/azure/databricks/kb/execution/spark-serialized-task-is-too-large