Between what two locations does FabricPool technology move data based on access patterns?

Between what two locations does FabricPool technology move data based on access patterns?

• A. Local tier and external archiving
• B. Cloud tier and edge computing
• C. Local tier and a cloud tier
• D. Local drives and removable storage

Answer: (C)

FabricPool technology is designed to optimize data storage management by moving data based on access patterns between the local tier and a cloud tier. The local tier typically refers to the on-premises storage that is often faster and more readily accessed for frequently used data. In contrast, the cloud tier serves as a more cost-effective storage option for less frequently accessed or dormant data, leveraging cloud storage capabilities. This separation of data into tiers allows organizations to take advantage of the speed of local storage while minimizing costs associated with the larger volumes of less-urgent data that can reside in the cloud. By efficiently moving data based on its access patterns, FabricPool helps in maintaining performance while also optimizing storage costs. The other choices do not accurately represent the functioning of FabricPool technology. For instance, external archiving and removable storage do not specifically relate to how FabricPool manages data movement based on activity. Therefore, the correct choice aligns fully with the core functionality of FabricPool.

FabricPool technology is designed to optimize data storage management by moving data based on access patterns between the local tier and a cloud tier. The local tier typically refers to the on-premises storage that is often faster and more readily accessed for frequently used data. In contrast, the cloud tier serves as a more cost-effective storage option for less frequently accessed or dormant data, leveraging cloud storage capabilities.

This separation of data into tiers allows organizations to take advantage of the speed of local storage while minimizing costs associated with the larger volumes of less-urgent data that can reside in the cloud. By efficiently moving data based on its access patterns, FabricPool helps in maintaining performance while also optimizing storage costs.

The other choices do not accurately represent the functioning of FabricPool technology. For instance, external archiving and removable storage do not specifically relate to how FabricPool manages data movement based on activity. Therefore, the correct choice aligns fully with the core functionality of FabricPool.