Databricks Certified Data Engineer - Associate

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.