A healthcare provider ingests patient monitoring telemetry into an Azure Blob Storage account. The storage solution must remain resilient against a primary datacenter outage. The data lifecycle and access patterns are defined as follows:
* The telemetry is highly active and requires sub-second retrieval latency for the first days.
* From day through day , the telemetry is accessed infrequently but must be available for immediate, sub-second querying.
* After days, the telemetry is only accessed for regulatory compliance audits that tolerate a retrieval latency of up to hours.
* All telemetry must be retained for years ( days) and then deleted.
You need to design a storage and lifecycle management strategy that meets these requirements at the lowest possible cost.
Which strategy should you recommend?
- AConfigure a Zone-Redundant Storage (ZRS) account. Create a lifecycle policy to transition blobs from the Hot tier to the Archive tier after 14 days, and delete them after 2555 days.
- BConfigure a Locally Redundant Storage (LRS) account. Create a lifecycle policy to transition blobs from the Hot tier to the Cool tier after 14 days, transition them to the Archive tier after 90 days, and delete them after 2555 days.
- Configure a Zone-Redundant Storage (ZRS) account. Create a lifecycle policy to transition blobs from the Hot tier to the Cool tier after 14 days, transition them to the Archive tier after 90 days, and delete them after 2555 days.Cevap
- DConfigure a Zone-Redundant Storage (ZRS) account. Create a lifecycle policy to transition blobs from the Hot tier to the Archive tier after 30 days, and delete them after 2555 days.