Apache Spark 3 for Data Engineering and Analytics with Python - MacOS - Testing the Spark Installation

The video tutorial introduces the Spark Shell and demonstrates writing a simple test program using PySpark. It covers creating a range of numbers and explains the concept of RDDs (Resilient Distributed Datasets) and data partitioning. The tutorial then shows how to filter odd numbers from an RDD using a Python Lambda function. Finally, it confirms the successful execution of the code and exits the Spark Shell.

What command is used to start the Spark shell?

• pyspark

• start-spark

• spark-shell

• spark-start

What does RDD stand for in Spark?

• Resilient Distributed Datasets

• Random Data Distribution

• Reliable Data Distribution

• Rapid Data Deployment

How is a range of numbers created in Python?

• Using the range function

• Using the numbers function

• Using the array function

• Using the list function

Which method is used to create an RDD from a list in Spark?

• distribute

• createRDD

• makeRDD

• parallelize

What is the purpose of using a lambda function in filtering RDDs?

• To sort the data

• To map the data

• To filter the data based on a condition

• To reduce the data

What does the expression 'X mod 2 not equal 0' check for?

• If X is an odd number

• If X is an even number

• If X is a prime number

• If X is a multiple of 2

How can you exit the Spark shell?

• Type 'end'

• Type 'quit'

• Type 'exit'

• Type 'stop'