1. Describe how to administer users in groups in the Databricks Lakehouse Platform, including:
(1) Importing from identity providers
(2) User-group relationship management
(3) Admin roles
(4) Workspace APIs
2. Describe how to manage compute resources in the Databricks Lakehouse Platform, including:
(1) Clusters (init scripts, variables, policies, types, pools)
(2) Databricks SQL wWarehouses (classic, serverless)
(3) MLflow Model Serving
(4) Orchestration rResources (jobs, pipelines)
3. Describe how to govern and secure the Databricks Lakehouse Platform and its capabilities and objects, including:
(1) Permissions configurations (workspace assets, jobs, clusters and cluster pools)
(2) Data governance (table types, views, sharing, security models)
(3) Secret management
(4) Delta sharing
(5) Model governance