Workspace access control in Azure Databricks is the correct choice for implementing fine-grained access control at the notebook, table, and cluster level. It allows administrators to define who can view, edit, or run specific resources within the workspace, ensuring that only authorized users have access to sensitive data or configurations. While Databricks SQL Analytics (option A) enables SQL queries on your data lake, it doesn't specifically manage access control at these levels. Unity Catalog (option B) offers a unified metadata view but lacks direct access control capabilities. Azure AD Conditional Access (option D) controls Azure resource access based on conditions but isn't tailored for fine-grained control within Azure Databricks. Therefore, Workspace access control stands out as the most appropriate feature for detailed access management within the workspace.