Databricks-DE-Pro Data Security and Compliance Practice Question
An organization wants to restrict data access to only allow connections from specific corporate IP ranges. Which Databricks feature should be configured to implement this network security requirement?
⚠ Common exam trap
Candidates often confuse 'IP Access Lists' with 'Unity Catalog permissions' or 'Workspace Entitlements.' They fail to realize that network-level traffic filtering happens before authentication.
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
✓
IP Access Lists.
Network-level security is a cornerstone of enterprise data governance. By using IP access lists, Databricks allows administrators to define a whitelist of allowed CIDR blocks. This ensures that even if a user has valid credentials, they cannot access the Databricks workspace unless they are connecting from a trusted corporate network, effectively mitigating the risk of unauthorized access from public or malicious locations.
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 access controls.
Why it's wrong here
Unity Catalog governs data access within the platform, not the underlying network connection to the workspace. While it is essential for fine-grained security, it does not provide the capability to filter incoming traffic based on source IP addresses. That is a function of the workspace-level network configuration.
- ✓
IP Access Lists.
Why this is correct
IP Access Lists are the specific Databricks feature designed to restrict access based on source IP. By defining a set of allowed CIDR ranges, administrators can ensure that users can only interact with the Databricks environment from authorized network locations, satisfying critical security and compliance requirements for enterprise clients.
- ✗
Cluster-level Spark configurations.
Why it's wrong here
Spark configurations are used for performance tuning and environment variables, not for network perimeter security. Attempting to manage network access via Spark configs is ineffective and unsupported, as network traffic is handled by the cloud infrastructure layer and workspace entry points before the Spark cluster is even involved.
- ✗
Workspace-level SSO integration.
Why it's wrong here
SSO (Single Sign-On) handles user authentication and identity management, ensuring that users have the correct credentials. However, it does not inherently provide IP filtering. While some IdPs support conditional access based on location, Databricks IP Access Lists provide the direct enforcement mechanism required for workspace-level network security.
Visual reference
About these practice questions
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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.