Answer: Data Explorer

## Explanation **Correct Answer: C. Data Explorer** In the Databricks Lakehouse Platform, Data Explorer is the primary interface for managing permissions on Delta tables and other data objects. Here's why: 1. **Data Explorer's Role**: Data Explorer provides a user interface for browsing, managing, and securing data objects in Databricks. It allows table owners to: - View table details and schemas - Manage permissions (GRANT/REVOKE statements) - Set up data governance policies - Configure table properties 2. **Permission Management**: As the Delta table owner, the data engineer can use Data Explorer to: - Navigate to the specific Delta table - Click on the "Permissions" tab - Grant SELECT permission to data analysts or groups - Use SQL GRANT statements directly 3. **Why other options are incorrect**: - **A. Repos**: Used for version control and collaboration on notebooks and code, not for data permissions - **B. Jobs**: Used for scheduling and running data pipelines, not for managing table permissions - **D. Databricks Filesystem (DBFS)**: A distributed file system for storing files, not for managing Delta table permissions - **E. Dashboards**: Used for creating and sharing visualizations, not for data access control 4. **Alternative Methods**: While Data Explorer is the primary UI method, permissions can also be managed through: - SQL GRANT statements in notebooks or SQL warehouses - Unity Catalog (if enabled) for centralized governance - REST APIs for programmatic access control **Key Takeaway**: Data Explorer is the go-to tool in Databricks for managing permissions on Delta tables when you need to grant access to downstream users like data analysts.

Author: Keng Suppaseth