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Which type of warehouse in Snowflake allows for scaling out to manage concurrent queries?

  1. Standard warehouse

  2. Multi-Cluster warehouse

  3. Clustered warehouse

  4. Shared warehouse

The correct answer is: Multi-Cluster warehouse

The type of warehouse in Snowflake that allows for scaling out to effectively manage concurrent queries is the Multi-Cluster warehouse. This functionality is particularly beneficial in scenarios where there is a high volume of simultaneous queries being executed. The Multi-Cluster warehouse can automatically spin up additional clusters to handle increased workloads, which means it can distribute the load across multiple instances. This ensures that query performance remains optimal even under heavy demand. In contrast, a Standard warehouse does not have this capability for automatic scaling and can struggle with performance when multiple queries are executed concurrently. Clustered warehouses typically refer to the organization of data rather than the ability to scale resources, while a Shared warehouse involves sharing resources among different users but does not inherently allow for scaling out in the same manner as a Multi-Cluster warehouse. Thus, the Multi-Cluster warehouse is uniquely designed to meet the needs of concurrent query loads effectively.