Databricks-DA-Assoc Developing AI/BI Genie Spaces Practice Question
Which THREE of the following are essential components of a well-architected AI/BI Genie Space setup?
⚠ Common exam trap
Candidates often select user-facing UI features as core architectural components, failing to recognize that backend metadata, system instructions, and compute resources are essential.
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
✓
Detailed documentation in the Unity Catalog table/column comments.
A robust Genie Space setup relies on clear semantic metadata, optimized data access, and controlled user permissions. By defining clear table descriptions in Unity Catalog, you provide the LLM with the context needed for accurate SQL generation. Combining this with granular permissions and well-crafted system instructions ensures the solution is both secure and reliable. These three pillars create a scalable environment that allows users to self-serve insights while maintaining strict organizational data governance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Detailed documentation in the Unity Catalog table/column comments.
Why this is correct
LLMs rely heavily on the metadata provided in the catalog. High-quality, descriptive comments for tables and columns are the primary mechanism by which the model understands the data structure, naming conventions, and business purpose of each field, directly influencing the quality and relevance of the generated SQL queries.
- ✗
Providing the end-users with direct read access to all raw source tables.
Why it's wrong here
Providing direct access to all raw source tables is a significant security risk and increases complexity for the end-user. It violates the principle of least privilege and undermines the purpose of using Genie as a curated, governed analytical interface that simplifies data discovery and access for the business user.
- ✓
Well-defined system instructions within the Genie Space configuration.
Why this is correct
System instructions serve as the 'brain' of the Genie Space, dictating how the model should behave, what business logic to apply, and how to handle edge cases. Without these instructions, the model defaults to generic interpretations, which often conflict with specific organizational business rules and lead to analytical errors.
- ✓
A dedicated SQL Warehouse with sufficient compute for the expected workload.
Why this is correct
The SQL Warehouse is the engine that executes the code generated by the Genie. Without a dedicated or properly sized warehouse, query execution might be slow or unstable, leading to a poor user experience. Proper warehouse configuration is necessary to ensure the AI-driven insights are delivered in a timely manner.
- ✗
Granting all users 'owner' privileges on the Genie Space.
Why it's wrong here
Granting owner privileges to all users is a major security vulnerability. It allows any user to change the system instructions, reconfigure data sources, or delete the space. Standard users should only have the minimum permissions necessary to query the space, ensuring the integrity of the analytical setup remains intact.
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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-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.