Databricks-DA-Assoc Developing AI/BI Genie Spaces Practice Question
Which primary resource must be granted to users for them to successfully interact with an AI/BI Genie Space to generate insights?
⚠ Common exam trap
Candidates often think that giving a user access to the Genie space is sufficient, forgetting that the user must also have direct SELECT permissions on the underlying 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
✓
CAN_USE permission on the Genie Space and SELECT access on underlying data.
Users require explicit access permissions to both the Genie Space itself and the underlying data assets (tables or views) it exposes. Without sufficient SELECT privileges on the underlying Unity Catalog assets, the Genie engine cannot execute the SQL generated to answer natural language questions. Managing these permissions centrally through Unity Catalog ensures that data governance and security policies are consistently applied, even when users are interacting via natural language interfaces.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
CAN_EDIT permission on the Genie Space.
Why it's wrong here
The CAN_EDIT permission allows users to modify the Genie Space's configuration, such as changing the underlying data or system instructions. This level of access is excessive for standard business users who only need to ask questions. It poses a security risk by allowing unauthorized modifications to analytical tools.
- ✓
CAN_USE permission on the Genie Space and SELECT access on underlying data.
Why this is correct
The CAN_USE permission is the standard requirement for end-users to interact with the interface. Combined with SELECT access on the Unity Catalog objects, this configuration ensures the model can retrieve data to answer questions while maintaining strict adherence to the organization's existing data security and governance framework.
- ✗
Global admin access within the Databricks Workspace.
Why it's wrong here
Granting global admin access violates the principle of least privilege. Users only need interaction capabilities, not administrative control over the entire workspace. Providing excessive permissions exposes the platform to accidental deletions or configuration changes, which could disrupt data pipelines and analytical workflows for the entire organization.
- ✗
Access to the underlying SQL Warehouse only.
Why it's wrong here
While access to the SQL Warehouse is necessary for query execution, it is insufficient on its own. Users must also be granted permission to the Genie Space resource itself to open the chat interface. A functional implementation requires both the interface access and the backend execution capability to work.
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.