Apache Spark Certification Practice Test

The selection of programming languages that can be used with Apache Spark includes R, Python, and Java, making this choice the correct answer.

Apache Spark was originally developed in Scala, and it provides first-class support for Scala, allowing users to access Spark's full capabilities while writing concise and expressive code. Additionally, Python is a widely used language in the data science community and has a powerful interface with Spark through PySpark, enabling Python developers to leverage Spark's distributed computing capabilities efficiently. Java also enjoys strong compatibility with Spark, given that Spark is built on the JVM (Java Virtual Machine), thus allowing Java developers to utilize Spark’s functionality with ease.

The other choices include programming languages that do not have robust or official support in the Spark ecosystem. For example, while Ruby and PHP are popular languages, they do not have the same level of integration or support for Apache Spark as R, Python, and Java do. C# is typically associated with the .NET framework and does not provide direct access to Spark, making it less relevant in this context. R, Python, and Java are the primary languages recognized for effective Spark programming, making the chosen answer optimal.