Databricks-DE-Pro Data Governance Practice Question
An organization needs to share a dataset with a client who does not use Databricks. What is the most efficient and secure way to share this data using Unity Catalog?
⚠ Common exam trap
Candidates often suggest exporting data to CSV or Parquet files for the client. This is insecure, creates data silos, and loses the benefit of centralized governance and audit logs.
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
✓
Use Delta Sharing with an open sharing provider.
Delta Sharing is an open-standard protocol that allows sharing data with any recipient, regardless of their platform or environment. By using Unity Catalog to share data, the organization maintains centralized governance and audit trails while enabling the recipient to consume the data using familiar tools. This approach is highly efficient because it avoids the need for data duplication and ensures the recipient always accesses the most current version.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Export the data to CSV and upload it to a public FTP server.
Why it's wrong here
Exporting to CSV and using an FTP server is a highly insecure practice that lacks auditability, access control, and data freshness. It creates unmanaged data copies that are disconnected from the platform's governance model, leading to increased risk of data leakage and compliance violations in enterprise environments.
- ✓
Use Delta Sharing with an open sharing provider.
Why this is correct
Delta Sharing is the industry-standard, secure protocol for data sharing. It supports both Databricks and non-Databricks recipients, allowing for seamless integration. Because it works at the protocol level, it avoids the security risks of copying data and ensures that the provider retains full control over the shared assets.
- ✗
Grant the client read-only access to a dedicated Databricks workspace.
Why it's wrong here
Giving external parties direct access to your internal workspaces is a major security risk, even with read-only permissions. It exposes internal infrastructure and metadata that should be kept private. Delta Sharing is designed specifically to provide data access without the need to grant access to the internal workspace environment.
- ✗
Create a public API endpoint that queries the table for the client.
Why it's wrong here
Building a custom API for data sharing is expensive to maintain, insecure, and bypasses all the built-in governance, lineage, and audit features of Unity Catalog. Delta Sharing provides a pre-built, secure, and compliant alternative that requires significantly less development effort and reduces the surface area for potential security vulnerabilities.
About these practice questions
This Databricks-DE-Pro question is part of Courseiva's 267-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-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.