Databricks-DE-Pro Data Security and Compliance Practice Question
Which TWO of the following are benefits of using Unity Catalog for managing data governance in a multi-workspace environment?
⚠ Common exam trap
Candidates often think Unity Catalog is only for 'data discovery' or 'metadata storage,' overlooking its primary enterprise value: unified security and auditing across multiple independent workspaces.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Centralized access control across all workspaces.
Unity Catalog provides a unified, centralized governance layer that spans all workspaces in a Databricks account. This eliminates the need for siloed management, ensuring that users have consistent access rights, audit trails, and data discovery across the entire organization. By streamlining these processes, Unity Catalog simplifies compliance and improves collaboration while maintaining strict control over who can access which data objects across the enterprise.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Workspaces can have independent, non-overlapping governance.
Why it's wrong here
The primary benefit of Unity Catalog is its centralized governance, not independent management. It is designed to provide a single, consistent set of policies across all workspaces. Allowing workspaces to have independent governance would defeat the purpose of a unified catalog and create significant compliance and management challenges.
- ✓
Centralized access control across all workspaces.
Why this is correct
Unity Catalog provides a centralized point to manage access control. Instead of configuring permissions in every workspace, an admin can grant access in Unity Catalog, and those permissions are honored across every workspace connected to the metastore. This significantly reduces administrative overhead and ensures a uniform security policy everywhere.
- ✓
Unified audit trail for all data activities.
Why this is correct
A centralized metastore ensures that all data access events are logged in a single, unified audit trail. This is crucial for compliance reporting, as it allows security teams to query logs across the entire account from one location, rather than aggregating disparate logs from multiple individual workspace sources.
- ✗
Increased performance for all SQL queries.
Why it's wrong here
Unity Catalog is a governance layer, not a performance optimization engine for SQL queries. While it improves organizational efficiency and security, it does not directly impact the speed at which Spark processes data. Query performance is still dependent on cluster configuration, data layout, and efficient query design, not governance.
- ✗
Automatic data encryption at the application level.
Why it's wrong here
Unity Catalog handles authorization and metadata management, not application-level data encryption. While it supports dynamic masking, the actual encryption of data files at rest is managed at the cloud storage layer or via Databricks-managed keys. Confusing governance with encryption is a common misunderstanding in platform security.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DE-Pro practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-DE-Pro exam.