Which types of SQL warehouses does Databricks SQL support?

Databricks SQL supports both serverless and pro SQL warehouses, making this the correct answer. The serverless option allows users to run queries without the need to manage the underlying infrastructure, enabling automatic scaling and resource provisioning. This is particularly useful for ad-hoc querying or when workloads have variable demand. On the other hand, the pro option provides dedicated resources for users who need consistent performance and control over the environment for their data analytics tasks.

The distinction between these warehouse types is important for users to choose the right setup depending on their specific needs, performance requirements, and cost considerations. Serverless warehouses offer flexibility, while pro warehouses offer stability for workloads that require that level of commitment.

The other options do not correctly describe the SQL warehouse types supported by Databricks. Universal and experimental do not reflect the formal categories recognized by Databricks for SQL warehouses, and terms like classic, on-premise, private, and public do not align with the current offerings in the context of Databricks SQL.