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Questions and Answers
What is the primary function of the PySpark when() function?
What is the primary function of the PySpark when() function?
- To assign a NULL value when no conditions are met
- To create a new DataFrame column
- To return a literal value when a condition is met (correct)
- To filter a DataFrame based on conditions
What does the PySpark otherwise() function return by default?
What does the PySpark otherwise() function return by default?
- A literal string value of 'default'
- An empty string
- The same value as its input
- A NULL (None) value (correct)
Which PySpark SQL function works similarly to the 'Switch' statement in programming languages?
Which PySpark SQL function works similarly to the 'Switch' statement in programming languages?
- filter()
- CASE WHEN
- select()
- when().otherwise() (correct)
How is the PySpark SQL Case When expression different from the if-then-else statement?
How is the PySpark SQL Case When expression different from the if-then-else statement?
What happens when using the when() function without the otherwise() function, and no conditions are met?
What happens when using the when() function without the otherwise() function, and no conditions are met?
Which PySpark function is used for chaining multiple when() clauses?
Which PySpark function is used for chaining multiple when() clauses?
What is the primary function of a Case When statement in SQL?
What is the primary function of a Case When statement in SQL?
What is the purpose of the expr() function in PySpark SQL?
What is the purpose of the expr() function in PySpark SQL?
How can you use Case When with multiple conditions in PySpark SQL?
How can you use Case When with multiple conditions in PySpark SQL?
What is the main difference between SQL Case When statement and PySpark SQL Case When statement?
What is the main difference between SQL Case When statement and PySpark SQL Case When statement?
What is the purpose of the withColumn() function in PySpark SQL?
What is the purpose of the withColumn() function in PySpark SQL?
What is the result of using Case When with multiple conditions in PySpark SQL?
What is the result of using Case When with multiple conditions in PySpark SQL?