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C. Databricks web application
In the classic Databricks architecture, the control plane includes components like the Databricks web application, the Databricks REST API, and the Databricks Workspace. These components are responsible for managing and controlling the Databricks environment, including cluster provisioning, notebook management, access control, and job scheduling.
The other options, such as worker nodes, JDBC data sources, Databricks Filesystem (DBFS), and driver nodes, are typically part of the data plane or the execution environment, which is separate from the control plane. Worker nodes are responsible for executing tasks and computations, JDBC data sources are used to connect to external databases, DBFS is a distributed file system for data storage, and driver nodes are responsible for coordinating the execution of Spark jobs.
C. Databricks web application
The Databricks web application, which provides the user interface for interacting with Databricks, is hosted entirely in the control plane. It allows users to manage and monitor their clusters, notebooks, and jobs, among other functionalities.
The other components mentioned are associated with the compute layer in the classic Databricks architecture:
A. Worker node: Worker nodes are responsible for executing the actual computations and processing the data.
B. JDBC data source: A JDBC data source refers to an external database or data source accessed through the Java Database Connectivity (JDBC) interface. It is typically located outside of the control plane.
D. Databricks Filesystem: The Databricks Filesystem (DBFS) is a distributed file system that stores and manages data within the compute layer.
E. Driver node: The driver node is responsible for coordinating the execution of tasks across the worker nodes and managing the user session.
The control plane in the classic Databricks architecture is responsible for managing the Databricks workspace, user and group management, and cluster management, among other things. The Databricks web application is a part of the control plane that enables users to interact with the workspace, create and manage clusters, and work with notebooks, jobs, and data. Worker nodes and driver nodes are part of the data plane, which is responsible for executing data processing tasks. JDBC data sources and the Databricks Filesystem are services that are used by both the control plane and the data plane.
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