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Databricks-DE-Assoc Governance and Security Practice Question

A data engineer needs to share a table in Unity Catalog with a partner organization using a different Databricks account. Which feature should be used to provide secure access without moving the data?

⚠ Common exam trap

Candidates often mistake traditional data replication, cloning, or workspace sharing for Delta Sharing when collaborating securely with external organizations across different Databricks accounts.

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

✓

Delta Sharing

Delta Sharing is the industry-standard open protocol for secure data sharing across organizational boundaries in Databricks. By utilizing Unity Catalog, Delta Sharing allows data providers to share live data directly from the storage layer without replicating files. This ensures governance, auditing, and real-time data access while maintaining strict security boundaries, which is critical for compliance and data sovereignty in modern enterprise data architectures.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Databricks File System (DBFS) mount points

    Why it's wrong here

    DBFS mount points are legacy features restricted to the local workspace and provide no mechanism for secure, governed cross-account sharing. They are not intended for external data distribution and lack the auditing, identity propagation, and policy enforcement capabilities required for modern secure data sharing across different Databricks accounts.

  • ✗

    Unity Catalog External Locations

    Why it's wrong here

    External Locations are used to define connectivity between Unity Catalog and cloud storage providers for internal data ingestion or management. They do not provide the protocol-level abstraction necessary to expose data to external entities outside your own Databricks account, making them unsuitable for cross-organizational data sharing scenarios.

  • ✓

    Delta Sharing

    Why this is correct

    Delta Sharing is specifically designed for secure data exchange across different platforms and accounts. It utilizes an open-source protocol that allows the recipient to query data directly from your storage without needing to copy the data, ensuring the provider maintains full control over access policies and auditing throughout the process.

  • ✗

    Cross-account IAM Role Assumption

    Why it's wrong here

    While IAM roles are essential for cloud infrastructure security, they are an infrastructure-level mechanism, not a data-governance feature. Directly assuming roles across accounts introduces significant security risks and operational complexity compared to the managed, audited, and policy-driven interface that Unity Catalog and Delta Sharing offer for data access.

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 →

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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-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.