Databricks - Data Analyst Associate Study Guide

7: Developing, Sharing, and Maintaining AI/BI Genie spaces

This chapter is the analyst's playbook for AI/BI Genie, the natural-language question-answering surface over curated Unity Catalog datasets on the Databricks Data Intelligence Platform. It covers how a Genie space is composed and how it reasons, the authoring workflow that pins datasets, sample questions, instructions, trusted assets, and a SQL warehouse, the permission and distribution paths that put a space in front of stakeholders through the workspace UI, shareable links, and embedded apps, and the closed-loop optimization workflow that reads user history, tracks response accuracy, folds stakeholder feedback into instructions and trusted assets, benchmarks against a gold set, and refreshes Unity Catalog metadata to raise grounding quality over time.