The answer to this is wrong. Consumption is based on the Size of the Warehouse, Number of Clusters and the amount of time the warehouse is running. The correct answer is therefore B&D
B. Warehouse size: The size of the virtual warehouse directly impacts the number of credits consumed. Larger warehouses consume more credits per unit of time.
D. # of clusters for the Warehouse: The number of clusters in a multi-cluster warehouse also affects credit consumption. More clusters mean higher credit usage.
B. Warehouse size: The size of the virtual warehouse is one of the primary factors that determine the credit consumption. Larger warehouses have more compute resources available, which allows them to process data faster and more efficiently, but also results in higher credit consumption.
C. Amount of data processed: The amount of data processed by the virtual warehouse is another key factor that determines credit consumption. Snowflake charges credits based on the amount of data processed, regardless of the number of users or the number of clusters used by the virtual warehouse.
A. Number of users and D. # of clusters for the warehouse are not direct factors in credit consumption by the compute layer. However, the number of users and the number of clusters used can indirectly affect credit consumption by impacting the amount of data processed and the warehouse size required to process that data efficiently.
Therefore, the credit consumption by the compute layer in Snowflake is primarily based on warehouse size and the amount of data processed.
The correct options for Snowflake Credit Consumption by the Compute Layer (Virtual Warehouses) are:
B. Warehouse size
D. # of clusters for the Warehouse
Snowflake's credit consumption is influenced by the size of the virtual warehouse (which determines the amount of compute resources allocated) and the number of clusters used by the warehouse (especially in multi-cluster warehouses, which allow for scaling out to handle varying workloads).
Ans: BD
Credit charges are calculated based on:
The warehouse size.
The number of clusters (if using multi-cluster warehouses).
The length of time the compute resources in each cluster runs.
After some research, I feel like picking C over D because you can have 8 2-node clusters or 4 4-node clusters in the same 16-node size warehouse. So more clusters should not cost you more. I also don't like C but generally more data means more time or resources used.
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