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A company is designing its serving layer for data that is in cloud storage. Multiple terabytes of the data will be used for reporting. Some data does not have a clear use case but could be useful for experimental analysis. This experimentation data changes frequently and is sometimes wiped out and replaced completely in a few days. The company wants to centralize access control, provide a single point of connection for the end-users, and maintain data governance. What solution meets these requirements while MINIMIZING costs, administrative effort, and development overhead?
Correct Answer: A
The most cost-effective and administratively efficient solution is to use a combination of native and external tables. Native tables for reporting data ensure performance and governance, while external tables allow for flexibility with frequently changing experimental data. Creating roles with specific grants to datasets aligns with the principle of least privilege, centralizing access control and simplifying user management12. References *Snowflake Documentation on Optimizing Cost1. *Snowflake Documentation on Controlling Cost2.