A healthcare analytics company is designing the Azure compute and storage infrastructure for a new real-time patient health tracking application. The architecture must satisfy the following requirements:
- The analytics engine runs steady-state, 24/7, and processes highly sensitive health records. It must protect data in use via hardware-based memory encryption.
- The compute layer must automatically scale out to handle peak loads.
- The compute infrastructure must achieve a 99.99% availability Service Level Agreement (SLA).
- The database engine stores transaction logs that require high IOPS and sub-millisecond write latency.
Which virtual machine configuration and storage architecture should you recommend?
- A Virtual Machine Scale Set utilizing DCasv5-series Virtual Machines deployed across three Availability Zones, with Premium SSD v2 disks for database transaction logs.Answer
- BA Virtual Machine Scale Set utilizing Azure Spot DCasv5-series Virtual Machines deployed across three Availability Zones, with Premium SSD v2 disks for database transaction logs.
- CA Virtual Machine Scale Set utilizing DCasv5-series Virtual Machines deployed within a single Availability Zone, with Premium SSD v2 disks for database transaction logs.
- DA Virtual Machine Scale Set utilizing DCasv5-series Virtual Machines deployed across three Availability Zones, with Standard HDD disks for database transaction logs.
Answer
A Virtual Machine Scale Set utilizing DCasv5-series Virtual Machines deployed across three Availability Zones, with Premium SSD v2 disks for database transaction logs.
The correct option combines a Virtual Machine Scale Set (VMSS) with confidential computing (DCasv5-series) for hardware-based memory encryption. Distributing these VMs across three Availability Zones ensures a 99.99% SLA. Utilizing Premium SSD v2 satisfies the sub-millisecond write latency and high IOPS required for database transaction logs.
Step-by-Step Solution
Key Concept
Designing high-availability confidential compute virtualization solutions with high-performance storage in Azure.
Estimated Time:2m 0s