Which statement accurately describes the Data Plane in Databricks?

The Data Plane in Databricks is primarily responsible for handling data processing operations. This includes executing the computational tasks and jobs that users submit, as well as managing the underlying resources that support these processes. By utilizing distributed computing, the Data Plane enables efficient execution of queries, transformations, and machine learning workloads on large datasets, leveraging the scalable architecture that Databricks provides.

The other choices address aspects of Databricks that are not related to the core functionality of the Data Plane. For instance, managing user accounts and configuring data storage options pertains more to administrative and management tasks typically handled by the Control Plane and other services in Databricks. Additionally, while notebooks may contain code and outputs related to data processing, they are not stored in the Data Plane but rather in the Control Plane or associated storage services. Hence, the focus of the Data Plane is specifically on the execution and processing of data tasks.