Governance — Databricks Certified Generative AI Engineer Associate

Official references for this objective

• Databricks — Agent Ready Data Governance: Databricks on Databricks | Databricks

  a model where Unity Catalog provides deep semantic context, usage constraints and "rules of the road" that our 100,000 agents can natively understand

• Databricks — Building Intelligent Data Discovery with Unity Catalog: Domains and Discover | Databricks

  how Domains provide a business-aligned governance layer, how Discover Page curates trusted data and insights across the account, and how recommendations leverage metadata, lineage, and

• Databricks — Cost Governance at Scale @ Databricks | Databricks

  We will demonstrate how we use System Tables, budgets and tagging policies to attribute costs to hundreds of internal teams, identify waste and enforce accountability

• Databricks — Getting started with AI Governance on Databricks | Databricks

  MCP standardizes how agents discover and use tools dynamically, while AI Gateway acts as the enterprise control plane to govern access, manage credentials, and monitor

• Databricks — Governed Data Sharing & Collaboration at Scale: Deep Dive On Security Best Practices for Zero-Trust Architectures | Databricks

  OIDC token federation for secretless auth with external identity providers, attribute‑based access control (ABAC) for fine‑grained row/column policies

• Databricks — Implementing Data Governance with Unity Catalog | Databricks

  including how it integrates with account-level architecture and administrative responsibilities. You will explore how metastores are created and configured, how workspaces are attached, and how

• Databricks — Interoperability With Unity Catalog: Enabling Governed Data Access Across Platforms Beyond Databricks | Databricks

  Lakehouse Federation makes Unity Catalog the catalog of catalogs for your entire data estate. You'll see demos on how to connect an external platform to

• Databricks — Native Streaming-to-Lakehouse Governance with Unity Catalog | Databricks

  catalog-based commits, a new approach where streaming data written in Delta Lake and Apache Iceberg formats is registered and governed in Unity Catalog at commit

• Databricks — Stop Arguing About Numbers: How Zalando Scales Governance With Unity Catalog and Metric Views | Databricks

  how we use metric views to move business logic out of siloed BI tools and directly into the lakehouse. This metric-as-code approach ensures that whether

• Databricks — Translating Nubank’s Data Lake Access Control Model Into Databricks Unity Catalog | Databricks

  the programmatic translation process using Unity Catalog APIs, and the application of read-time masking for sensitive columns