Snowflake Certification Practice Test

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How does a cluster shut down in Snowflake's Standard Scaling Policy?

After 5 consecutive successful checks
After 2 to 3 consecutive checks indicate low load
Immediately after all queries have finished
At the end of the day

The correct answer is: After 2 to 3 consecutive checks indicate low load

In Snowflake's Standard Scaling Policy, a cluster shuts down after 2 to 3 consecutive checks indicate low load. This approach is designed to optimize resource usage and minimize costs by determining whether the computational cluster is idle. When the system identifies that there is consistently low demand for processing power over these checks, it can efficiently scale down resources by shutting down the cluster. This method balances performance needs with cost efficiency. If the system observed a longer duration of low load before shutting down, it may delay necessary scaling actions, leading to potential wastage of resources. Therefore, the policy's design to trigger a shutdown after just 2 to 3 checks ensures that the system is responsive to changes in workload while maintaining performance during higher demand periods.