For an extremely large dataset that needs a single namespace with automatic distribution across member volumes, which ONTAP technology should be deployed?

For an extremely large dataset that needs a single namespace with automatic distribution across member volumes, which ONTAP technology should be deployed?

• A. SnapVault replication
• B. FlexClone volumes
• C. FabricPool tiering
• D. FlexGroup volumes

Answer: (D)

FlexGroup volumes provide a single, global NAS namespace that scales out by automatically distributing data across multiple member volumes on different nodes. This means you can present an extremely large dataset as one seamless namespace to clients while the system handles data placement and I/O balancing across the underlying volumes. The result is improved parallelism, high throughput, and scalable capacity without manual sharding or management. Other options don’t offer this combination. SnapVault replication is for asynchronous backups and replication, not distributing a dataset across member volumes. FlexClone volumes create space-efficient clones of existing volumes, but they don’t provide a single, automatically balanced namespace across multiple volumes. FabricPool tiering moves cold data to object storage, focusing on cost and tiering, not distributing a massive dataset across member volumes under one namespace.

FlexGroup volumes provide a single, global NAS namespace that scales out by automatically distributing data across multiple member volumes on different nodes. This means you can present an extremely large dataset as one seamless namespace to clients while the system handles data placement and I/O balancing across the underlying volumes. The result is improved parallelism, high throughput, and scalable capacity without manual sharding or management.

Other options don’t offer this combination. SnapVault replication is for asynchronous backups and replication, not distributing a dataset across member volumes. FlexClone volumes create space-efficient clones of existing volumes, but they don’t provide a single, automatically balanced namespace across multiple volumes. FabricPool tiering moves cold data to object storage, focusing on cost and tiering, not distributing a massive dataset across member volumes under one namespace.