Snowflake SnowPro Certification Practice Test

When creating a Warehouse, what distinguishes size from clusters?

1. Size refers to the maximum number of clusters

2. Size refers to the number of servers in each cluster

3. Clusters determine loading speed

4. Size indicates pricing tiers

The correct answer is: Size refers to the number of servers in each cluster

Size refers to the number of servers in each cluster, and this is a fundamental aspect when configuring a Snowflake Warehouse. The size of the Warehouse directly impacts its computational resources, which include the number of virtual CPUs and memory allocated to process queries. A larger size typically means more servers and greater capacity to handle workloads, leading to faster query execution due to enhanced parallel processing capabilities. In contrast, clusters in Snowflake are related to scaling out the performance of a Warehouse. Clusters are used to manage the concurrency and workload distribution, enabling the system to handle more simultaneous queries by creating additional clusters when needed. The distinction is important because while size impacts the internal resources available to a single cluster, clusters themselves manage how those resources can be distributed and utilized effectively during high-demand periods.