Free E-book: 30 PySpark Interview Questions with Answers

Here are some commonly asked PySpark interview questions with answers available in a downloadable free e-book for a quick refresher.

PySpark Interview Questions

For comprehensive reference to commonly asked PySpark interview questions and their solutions, you can download a free e-book here. The e-book contains 30 PySpark interview questions and answers to help you prepare effectively.

• 01 Create a SparkSession in PySpark.
• 02 Read a CSV file into a data frame using PySpark.
• 02a Add an additional column while reading the CSV file.
• 03 Show the schema of a data frame in PySpark. 
• 04 Select specific columns from a DataFrame in PySpark.
• 05 Filter rows based on a condition in PySpark DataFrame.
• 06 Group by a column and perform an aggregation in PySpark.
• 07 Join two DataFrames in PySpark.
• 08 Rename columns in a PySpark DataFrame.
• 09 Handle missing or null values in PySpark DataFrame.
• 10 Create a new column derived from existing columns in PySpark DataFrame.
• 11 Remove duplicate rows from a PySpark DataFrame.
• 12 Sort a data frame based on one or multiple columns in PySpark.
• 13 Perform a simple arithmetic operation on DataFrame columns in PySpark.
• 14 Calculate descriptive statistics for numeric columns in PySpark.
• 15 Apply user-defined functions (UDF) on PySpark DataFrame.
• 16 Convert a PySpark DataFrame to a Pandas DataFrame.
• 17 Write a PySpark DataFrame to a CSV file.
• 18 Cache or persist a PySpark DataFrame for better performance.
• 19 Handle Broadcast join.
• 20 Perform window functions in PySpark (e.g., rank, row number, etc.). For more questions and answers download the free e-book.

Free e-book