Which datastore type pair is listed as supported by vCenter Server (VCSA) and ESXi?

Which datastore type pair is listed as supported by vCenter Server (VCSA) and ESXi?

• A. VMFS (Version 5 and 6) and vVol
• B. NFS (Version 3 and 4.1) and vSAN
• C. VMFS Only
• D. NFS Only

Answer: (A)

Datastores in VMware come in different types, and both traditional VMFS and the newer vVol storage are supported by vCenter Server Appliance and ESXi. VMFS versions 5 and 6 remain valid block-based datastores, while vVols offer a different approach with per-VM virtual volumes on the storage array. Seeing both VMFS (versions 5/6) and vVols listed together reflects the reality that an ESXi/vCenter environment can manage these two datastore types side by side, using whichever fits the storage and management needs. The other options don’t fit as well because they either pair a storage type with another that isn’t typically considered a direct datastore pairing (for example, NFS with vSAN isn’t described as a combined datastore type pair in this context), or they imply you’re limited to only one datastore type, which isn’t the case in typical deployments where multiple datastore types can be used simultaneously.

Datastores in VMware come in different types, and both traditional VMFS and the newer vVol storage are supported by vCenter Server Appliance and ESXi. VMFS versions 5 and 6 remain valid block-based datastores, while vVols offer a different approach with per-VM virtual volumes on the storage array. Seeing both VMFS (versions 5/6) and vVols listed together reflects the reality that an ESXi/vCenter environment can manage these two datastore types side by side, using whichever fits the storage and management needs.

The other options don’t fit as well because they either pair a storage type with another that isn’t typically considered a direct datastore pairing (for example, NFS with vSAN isn’t described as a combined datastore type pair in this context), or they imply you’re limited to only one datastore type, which isn’t the case in typical deployments where multiple datastore types can be used simultaneously.