Apache Spark Certification Practice Test

The official name of the Python interface to Spark is PySpark. This naming reflects the integration of Python with the Apache Spark framework, allowing developers to write Spark applications using Python while leveraging the powerful capabilities of Spark for big data processing. PySpark provides a user-friendly API, making it easier for Python developers to interact with Spark's core functionalities, including data processing, manipulation, and machine learning.

The choice of PySpark emphasizes its role as the primary means by which Python developers can utilize Spark’s distributed processing capabilities. This has become a standard tool in data science and analytics, integrating the flexibility of Python with the scalability of Apache Spark. The other names presented do not represent the official title used in documentation or by the Apache community, making PySpark the accurate and widely recognized term for the Python interface to Spark.