A financial services provider is designing the Azure compute and storage infrastructure for two distinct workloads:
| Workload | Core Requirements | Uptime SLA | Operational Mode | Storage Needs |
|---|---|---|---|---|
| Workload 1 | Physical hardware isolation | Continuous / Steady-state | Low-latency, high-throughput database transaction logs | |
| Workload 2 | Budget-constrained | None | Periodic / Interruptible | Standard storage |
Which infrastructure strategy should you recommend to meet these requirements?
- AHost Workload 1 on Azure Spot Virtual Machines deployed across multiple Availability Zones using Premium SSD disks, and run Workload 2 on Azure Dedicated Hosts.
- BHost Workload 1 on Azure Dedicated Hosts deployed within a single Availability Zone using Premium SSD disks, and run Workload 2 on Azure Spot Virtual Machines.
- Host Workload 1 on Azure Dedicated Hosts deployed across multiple Availability Zones using Premium SSD disks, and run Workload 2 on Azure Spot Virtual Machines.Answer
- DHost Workload 1 on Azure Dedicated Hosts deployed across multiple Availability Zones using Standard HDD disks, and run Workload 2 on Azure Spot Virtual Machines.
Answer
Host Workload 1 on Azure Dedicated Hosts deployed across multiple Availability Zones using Premium SSD disks, and run Workload 2 on Azure Spot Virtual Machines.
The correct strategy hosts the transaction database (Workload 1) on Azure Dedicated Hosts to satisfy the regulatory hardware isolation requirement. These hosts are distributed across multiple Availability Zones to achieve the VM uptime SLA. The database transaction logs are placed on Premium SSDs to provide the necessary low-latency and high-throughput write performance. Finally, the non-critical, interruptible batch risk-modeling simulation (Workload 2) runs on Azure Spot VMs to maximize cost savings within strict budget limits.
Step-by-Step Solution
Key Concept
Designing virtualized compute solutions in Azure with specific constraints around physical isolation, high availability, disk latency, and cost optimization.