Which component in Azure Databricks allows you to manage data and notebooks?

The correct choice is a workspace because it serves as the primary organizational unit within Azure Databricks. Workspaces provide a collaborative environment where data engineers and data scientists can manage notebooks and data together. They facilitate project organization by allowing users to create folders to hold notebooks, libraries, and any related assets. This setup enhances collaboration, as multiple users can interact with shared notebooks and data assets in a centralized environment.

In contrast, a cluster is a set of computation resources that runs the jobs, a pool is a collection of resources that can be allocated to different jobs, and a storage account deals with the storage of data in Azure, rather than managing the notebooks or collaborative environment. Each of these components has a specific role but does not provide the organizational and collaborative capabilities associated with managing data and notebooks that a workspace does.