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What characterizes an auto-scale Virtual Warehouse?

  1. Min and max clusters are the same

  2. Min is lower than max, allowing for scaling

  3. It never scales

  4. It is only for large data sets

The correct answer is: Min is lower than max, allowing for scaling

An auto-scale Virtual Warehouse is characterized by having a minimum number of clusters that is lower than the maximum number of clusters. This configuration allows the Virtual Warehouse to dynamically adjust its resources based on the workload demand. When the demand for processing power increases, the auto-scaling feature can add more clusters up to the maximum limit, effectively providing the necessary compute resources to handle the workload. Conversely, when the demand decreases, it can scale down, reducing the number of active clusters to optimize costs. This responsive scaling ensures that performance is maintained during peak periods while minimizing expenses during quieter times, making it flexible and efficient for varying workloads.