Chapter 7 of 9 · Databricks Data Analyst Associate
AI/BI Genie Agents
Purpose, setup, trusted assets, permissions, sharing, monitoring and benchmarks.
- 2topics
- 10 minfast track
- 1diagrams and exhibits
- 12%of the exam
Topics in this chapter
Take them in order, or jump to the one you need.
- 1Genie Agents Purpose and SetupDatabricks Data Analyst Associate: what Genie Agents are, curating Unity Catalog data, warehouse choice, instructions, example…5 min
- 2Sharing and Improving Genie AgentsDatabricks Data Analyst Associate: Genie Agent permissions, links, embedding, Teams and Slack apps, monitoring, feedback…Diagram5 min
About this chapter
What this chapter covers
Developing, Sharing, and Maintaining AI/BI Genie Agents (Genie Spaces) is 12% of the Databricks Data Analyst Associate exam. It covers the natural language experience that lets business users ask questions of governed data and get SQL generated answers.
The chapter has two parts: what a Genie Agent is and how an analyst builds one, then how it is shared, monitored and improved over time. Genie Agents were formerly called Genie spaces, and the exam guide writes "Genie Agents (Genie spaces)".
Questions are mostly short scenarios in which the stated requirement (who may ask, who may edit, how accurate answers must be, where users work) decides the answer. They are single-answer multiple choice, and short SQL is shown as text. There are no exhibits.
How the topics fit together
A Genie Agent is only as good as the data and context its author gives it. After sharing, the author watches real questions, measures accuracy with benchmarks and feeds what they learn back into the instructions and trusted assets.
- Setup questions ask which data, warehouse, instructions and example queries an agent needs.
- Trusted asset questions ask what makes an answer verified and which assets count.
- Permission questions ask which permission level lets a user ask, edit or monitor.
- Improvement questions ask how feedback, monitoring and benchmarks guide changes.
When a question says "answers are wrong for a business term", the fix is almost always more context (an instruction, an example SQL query or a better column description), not a bigger warehouse.
How to use these pages
Each topic page has the same shape, so you can skim for what you need.
- What it is: the idea in plain words.
- How it works: the mechanism, with tables and examples.
- What to remember for the exam: the facts to memorize and how questions are phrased.
- Common mistakes: the classic traps.
- Check yourself: three questions to test your understanding.
Ready for more practice?
The full Databricks Data Analyst Associate question bank has 600 questions, with timed practice exams and an explanation for every answer.
This study guide is independent and is not affiliated with, endorsed by, or sponsored by Databricks. Vendor names, certification names and exam codes are trademarks of their respective owners and are used for identification only.