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What is the purpose of the Economy Scaling Policy?

  1. To conserve credits by keeping running clusters fully-loaded

  2. To automatically start new clusters for each query

  3. To ensure each query runs on a dedicated cluster

  4. To minimize the number of queries executed

The correct answer is: To conserve credits by keeping running clusters fully-loaded

The Economy Scaling Policy is designed to optimize resource usage in Snowflake by focusing on efficiency. Its primary purpose is to conserve credits, which are the units of measure for resource consumption in Snowflake, by keeping running clusters fully loaded. This means that the policy ensures that the computational resources allocated are utilized to the fullest extent possible, thereby preventing wasted credits that could occur if clusters are running but not being fully utilized. When clusters are fully loaded, it allows for more efficient processing of queries, as the resources are spread across multiple queries rather than allowing any one cluster to sit idle. By maintaining this balance, organizations can effectively manage their costs while ensuring that they have the necessary computational power available to handle their workloads. The other options do not align with the core intent of the Economy Scaling Policy. Automatically starting new clusters for each query can lead to resource sprawl and inefficient credit usage, while ensuring each query runs on a dedicated cluster might result in underutilized resources. Stipulating to minimize the number of queries executed would not serve the purpose of efficient credit management.