PySpark: Learn & Test Your Knowledge (PySpark Interview Preparation) - Level: Beginner

Data Structures and Operations - Level 1 (Beginner)

1. Which data structure in PySpark is immutable and distributed across multiple nodes?

List
DataFrame
Array
Set

2. Which operation is used to display the first few rows of a DataFrame?

show()
head()
print()
display()

3. Which data structure is mutable and cannot be distributed across multiple nodes in PySpark?

DataFrame
Array
List
RDD

4. Which operation is used to select specific columns from a DataFrame in PySpark?

select()
filter()
groupBy()
distinct()

5. Which operation is used to count the number of rows in a DataFrame in PySpark?

count()
length()
size()
rows()

6. Which operation is used to filter rows based on a condition in PySpark?

select()
filter()
groupBy()
distinct()

7. Which operation is used to drop duplicate rows from a DataFrame in PySpark?

dropDuplicates()
removeDuplicates()
dropDuplicateRows()
removeDuplicateRows()

8. Which operation is used to sort rows in a DataFrame based on one or more columns in PySpark?

sort()
orderBy()
sortRows()
sortData()

9. Which operation is used to rename a column in a DataFrame in PySpark?

renameColumn()
changeColumn()
withColumnRenamed()
updateColumn()

10. Which operation is used to drop a column from a DataFrame in PySpark?

deleteColumn()
dropColumn()
removeColumn()
drop()