What resources are found within the Databricks control plane?

The correct answer highlights that the Databricks control plane includes resources essential for managing and orchestrating the cluster environment within Databricks. Specifically, cluster configurations, which determine the hardware and settings for running computations, are managed within the control plane. Additionally, notebooks, where data scientists and engineers can write code, visualize data, and collaborate on analysis, are also a critical part of the control plane.

The control plane's primary purpose is to handle the coordination, scheduling, and management of resources, which includes these configurations and collaborative tools like notebooks. By placing emphasis on such resources, the control plane enables users to efficiently develop, deploy, and manage big data applications and solutions within the Databricks environment.

In contrast, data processing algorithms, data lakes, and streaming data applications represent elements that may be part of the broader data ecosystem but are not directly managed within the control plane. Data processing algorithms are typically executed on compute clusters, which fall under the data processing plane, while data lakes are foundational data storage solutions. Streaming data applications pertain to the data ingestion and processing context but don't reside within the control plane itself.