Explanation:
The question asks for two benefits of Snowflake's separation of compute and storage. Option A is correct because separating compute (virtual warehouses) from storage (data in cloud storage) allows independent scaling of computing resources based on workload demands without affecting storage. Option E is correct because compute can be scaled up or down (e.g., resizing warehouses or suspending them) without needing to add or modify storage, optimizing cost and performance. Option B is incorrect as data encryption is managed at the storage layer and is not a direct benefit of compute-storage separation. Option C is incorrect because automatic conversion of semi-structured data is a feature of Snowflake's data processing, not tied to compute-storage separation. Option D is incorrect as it contradicts the core benefit; separation decouples storage and compute growth, preventing tight coupling.
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Which statements describe benefits of Snowflake's separation of compute and storage? (Choose two.)
A
The separation allows independent scaling of computing resources.
B
The separation ensures consistent data encryption across all virtual data warehouses.
C
The separation supports automatic conversion of semi-structured data into structured data for advanced data analysis.
D
Storage volume growth and compute usage growth can be tightly coupled.
E
Compute can be scaled up or down without the requirement to add more storage.