Which compute resource is part of the Databricks Lakehouse Platform?

The Databricks Lakehouse Platform includes both classic clusters and serverless Databricks SQL warehouses as compute resources. Classic clusters are the traditional way to run workloads in Databricks, allowing for flexible resource management based on needs, while serverless SQL warehouses provide an efficient, on-demand compute option specifically optimized for SQL workloads. This combination allows users to leverage the benefits of both resource types depending on their specific use cases, such as interactive queries or batch processing.

The other choices involve resources that do not align with the core offerings of the Databricks Lakehouse Platform. Advanced GPU clusters are only a subset of available compute options and are not the sole focus. Dedicated hardware servers are not part of the Databricks environment, which operates on a fully managed cloud infrastructure. Third-party cloud services, while potentially used in conjunction with Databricks, do not constitute part of the platform’s intrinsic compute resources.