What best describes how FlexCache improves read performance?

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Multiple Choice

What best describes how FlexCache improves read performance?

Explanation:
FlexCache speeds read performance by acting as a local read cache that sits in front of the origin storage. When a client reads data, the cache first serves it from its own local store if the data is already cached. If the data isn’t there yet, the cache fetches it from the origin storage, serves it to the client, and stores a copy for the next access. This on-demand, read-through caching reduces latency for frequent reads and lowers traffic to the origin over the network. Pre-staging all data before any access would waste cache space and time, and isn’t how FlexCache operates. It also isn’t about replicating data asynchronously with SnapMirror, which is a separate replication feature, nor about offloading writes or metadata updates to the cache—writes still go to the origin and the cache focuses on accelerating read traffic.

FlexCache speeds read performance by acting as a local read cache that sits in front of the origin storage. When a client reads data, the cache first serves it from its own local store if the data is already cached. If the data isn’t there yet, the cache fetches it from the origin storage, serves it to the client, and stores a copy for the next access. This on-demand, read-through caching reduces latency for frequent reads and lowers traffic to the origin over the network.

Pre-staging all data before any access would waste cache space and time, and isn’t how FlexCache operates. It also isn’t about replicating data asynchronously with SnapMirror, which is a separate replication feature, nor about offloading writes or metadata updates to the cache—writes still go to the origin and the cache focuses on accelerating read traffic.

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