A logistics company is designing an Azure storage infrastructure for a new IoT telemetry analysis and reporting application. The application has the following design requirements:
* Telemetry data must be stored in a cost-effective storage tier. The data is rarely accessed after days, but must be retained for years for compliance. A rehydration latency of up to hours is acceptable when retrieving this archival data.
* Multiple containerized application servers running on Linux require concurrent read-write access to a shared file system via the NFS protocol.
* The report metadata database, which runs on an Azure Virtual Machine, requires a persistent managed disk with a capacity of that must deliver at least and sub-millisecond latency.
Which of the following design decisions should you recommend to meet these requirements? (Select TWO.)
- Store the telemetry data in Azure Blob storage and implement a lifecycle management policy to transition the blobs to the Archive tier after 30 days.Cevap
- Provision a Premium Azure Files share to support the NFS-based shared file system.Cevap
- CUse a Standard SSD managed disk for the database virtual machine to store the report metadata.
- DConfigure the telemetry storage account to use Locally Redundant Storage (LRS) to ensure regional disaster resilience.