Databricks-DA-Assoc Securing Data Practice Question
When sharing data with external organizations using Delta Sharing, which component manages the secure exchange of data?
⚠ Common exam trap
Many candidates mistakenly believe that individual clusters, notebooks, or workspace admins manage Delta Sharing instead of recognizing the central role of the Unity Catalog metastore.
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
✓
Unity Catalog metastore.
Delta Sharing is an open protocol that enables the secure exchange of data across different organizations without requiring them to have accounts in the same Databricks workspace. The Unity Catalog metastore acts as the central control point for these shares. By creating a 'Share' object, an administrator defines exactly which tables are shared, and the recipient uses a token to access that data securely.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Unity Catalog metastore.
Why this is correct
The Unity Catalog metastore serves as the governance layer that defines and tracks Delta Shares. It holds the metadata about the share, including which tables are included and which recipients have access. Without the metastore, there is no central mechanism to authorize or audit the external sharing of data assets.
- ✗
Workspace-local Hive metastore.
Why it's wrong here
The legacy Hive metastore is workspace-specific and does not have the capability to manage external data sharing protocols. It lacks the identity and permission integration necessary to provide secure, cross-organizational access to data. Unity Catalog was specifically designed to replace these limitations by providing a global, cross-workspace governance framework.
- ✗
Databricks File System (DBFS) Root.
Why it's wrong here
DBFS is a virtual file system used for storing workspace-level data, such as libraries and temporary files. It is not designed for governing external data sharing. Accessing data through DBFS does not provide the row/column level controls or the auditing required for secure data sharing with external parties or organizations.
- ✗
User-managed S3 bucket policies.
Why it's wrong here
While S3 policies define who can access storage, they do not manage the Delta Sharing protocol. Delta Sharing abstracts the underlying storage layer, allowing recipients to query data without needing direct access to your storage buckets. Relying on bucket policies for sharing is insecure and violates the principle of granular governance.
About these practice questions
This Databricks-DA-Assoc question is part of Courseiva's 291-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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-DA-Assoc 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-DA-Assoc exam.