In a multi-cluster warehouse used to achieve extremely low latency for large numbers of concurrent users, which mode keeps all warehouses running to maximize resources?

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Multiple Choice

In a multi-cluster warehouse used to achieve extremely low latency for large numbers of concurrent users, which mode keeps all warehouses running to maximize resources?

Explanation:
Maximized mode keeps all clusters running to maximize resources. In a multi-cluster Snowflake warehouse, handling extremely low latency with many concurrent users means you want constant, ready compute capacity so there’s no delay waiting for new clusters to start up. Keeping every cluster active eliminates provisioning delays, delivering the lowest possible latency under heavy load. This approach wins on performance, but it does ignore the cost savings of scaling down, which is why other modes balance price against latency by starting, pausing, or reducing clusters as demand changes.

Maximized mode keeps all clusters running to maximize resources. In a multi-cluster Snowflake warehouse, handling extremely low latency with many concurrent users means you want constant, ready compute capacity so there’s no delay waiting for new clusters to start up. Keeping every cluster active eliminates provisioning delays, delivering the lowest possible latency under heavy load. This approach wins on performance, but it does ignore the cost savings of scaling down, which is why other modes balance price against latency by starting, pausing, or reducing clusters as demand changes.

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