Databricks-DE-Assoc Governance and Security Practice Question
A data engineer needs to share a table in Unity Catalog with external partners who do not have access to the Databricks workspace. Which feature should the data engineer configure?
⚠ Common exam trap
Candidates often confuse Delta Sharing with standard workspace sharing or external table grants, assuming external partners need direct workspace access or cloud credentials to query data.
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
✓
Create a Delta Sharing recipient and publish tables to a sharing share object.
Delta Sharing enables secure data sharing with external organizations without requiring recipients to have access to your Databricks workspace or even be on the same cloud platform. It leverages cloud object storage credentials and open protocols to ensure governed data exchange.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure cross-workspace table linking using standard Spark mount points.
Why it's wrong here
Standard Spark mount points only secure access within cloud storage layers and lack fine-grained governance controls. They expose underlying storage credentials directly, making them completely unsuitable for safely sharing production data sets with external third-party partners.
- ✗
Create a shared Unity Catalog metastore and provision external IAM database users.
Why it's wrong here
External IAM database users authenticate at the cloud provider level, not through Unity Catalog, so they cannot receive Unity Catalog grants on the shared table. The stem requires sharing with partners lacking workspace access. This would be correct for granting direct cloud storage access outside Databricks governance.
- ✓
Create a Delta Sharing recipient and publish tables to a sharing share object.
Why this is correct
Publishing tables to a sharing object and defining a Delta Sharing recipient is the native architectural pattern. This permits secure, token-based data consumption by external entities directly from cloud storage without exposing internal metastores or workspace credentials.
- ✗
Export the Delta table files to CSV format and upload them to a public cloud bucket.
Why it's wrong here
Exporting to CSV and uploading to a public bucket removes Unity Catalog governance entirely, exposing data without access control, auditing or revocation. The stem needs governed sharing with partners lacking workspace access. This approach would be correct only for publishing genuinely public, non-sensitive datasets.
About these practice questions
This Databricks-DE-Assoc question is part of Courseiva's 276-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-DE-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-DE-Assoc exam.