What is the difference between 7-Mode and Clustered ONTAP in terms of data access and scalability?

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Multiple Choice

What is the difference between 7-Mode and Clustered ONTAP in terms of data access and scalability?

Explanation:
The difference comes from how data is accessed and how the system scales. 7-Mode is a legacy, single-node design where one controller handles all data access for its volumes. You can grow capacity within that node, but you don’t gain a cluster-wide namespace or the ability to scale out by adding more controllers. Clustered ONTAP, on the other hand, uses multi-node clusters that present a single namespace across all nodes. It introduces Storage Virtual Machines (SVMs) to isolate and manage data access paths, policies, and protocols, and you can scale out by adding nodes, boosting both capacity and performance while maintaining high availability. This combination of a shared namespace, SVM-based data virtualization, and scalable, multi-node architecture is what sets Clustered ONTAP apart. Statements that say 7-Mode is multi-node or that Clustered ONTAP cannot support SVMs aren’t accurate, which is why this option is the correct description.

The difference comes from how data is accessed and how the system scales. 7-Mode is a legacy, single-node design where one controller handles all data access for its volumes. You can grow capacity within that node, but you don’t gain a cluster-wide namespace or the ability to scale out by adding more controllers. Clustered ONTAP, on the other hand, uses multi-node clusters that present a single namespace across all nodes. It introduces Storage Virtual Machines (SVMs) to isolate and manage data access paths, policies, and protocols, and you can scale out by adding nodes, boosting both capacity and performance while maintaining high availability. This combination of a shared namespace, SVM-based data virtualization, and scalable, multi-node architecture is what sets Clustered ONTAP apart.

Statements that say 7-Mode is multi-node or that Clustered ONTAP cannot support SVMs aren’t accurate, which is why this option is the correct description.

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