Which of the following statements is TRUE about Databricks Runtime versions?

The statement that all versions include Apache Spark is true because Databricks Runtime is essentially a set of software that includes a specific version of Apache Spark along with various other libraries and optimizations. Each version of the Databricks Runtime is designed to deliver a specific configuration of Spark for users. Therefore, regardless of the version, you are guaranteed that Apache Spark is included, providing the underlying execution engine for distributed data processing.

Understanding this context can help clarify why the other statements are not valid. For instance, the limitation to one Spark job at a time is not inherent to the versions of Databricks Runtime; in fact, multiple jobs can run concurrently depending on the cluster configuration and resources. Older versions of Databricks Runtime do support running Spark jobs; they may simply lack newer features or optimizations found in the latest versions. Lastly, the assertion that only the latest version includes Apache Spark is incorrect, as all versions are designed with Apache Spark included in their base functionality.