Under Standard Scaling Policy, how is queuing minimized?

• A. Starting additional warehouses
• B. Conserving credits by reducing active warehouses
• C. Increasing warehouse compute size
• D. Automatically suspending warehouses after every query

Answer: (A)

When demand spikes, Standard Scaling minimizes queuing by automatically provisioning more compute clusters to handle the workload. Snowflake’s multi-cluster warehouses can run several clusters in parallel, so as queries queue up, additional warehouses are started to process them concurrently. This scale-out approach reduces wait times instead of just making a single warehouse bigger. The system then suspends extra clusters when demand drops to avoid wasting credits, but the key to cutting queues is adding more warehouses to handle the concurrency.