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Difficulty: MediumCompute Virtualization Solutions

An insurance firm is designing the Azure compute virtualization solution for its core claims processing system. The system requires two distinct compute environments:

* Claims Web API: A customer-facing API that processes incoming claims, requires memory-optimized virtual machines (high memory-to-vCPU ratio) to handle large session states, and must maintain an availability SLA of 99.99%.
* Reporting Generator: A batch workload that runs overnight to aggregate daily claims reports. The processing can tolerate interruptions, and the primary design constraint is minimizing operational costs.

Which virtualization solution meets the requirements for both workloads?

  1. A
    Deploy the Claims Web API on Spot E-series Virtual Machines, and deploy the Reporting Generator on E-series Virtual Machines.
  2. B
    Deploy the Claims Web API on E-series Virtual Machines in a single Availability Zone, and deploy the Reporting Generator on Spot Virtual Machines.
  3. Deploy the Claims Web API on E-series Virtual Machines across multiple Availability Zones using a Virtual Machine Scale Set, and deploy the Reporting Generator on Spot Virtual Machines.Answer
  4. D
    Deploy the Claims Web API on E-series Virtual Machines across multiple Availability Zones, and deploy the Reporting Generator on Azure Functions using a Consumption plan.

Answer

Deploy the Claims Web API on E-series Virtual Machines across multiple Availability Zones using a Virtual Machine Scale Set, and deploy the Reporting Generator on Spot Virtual Machines.
The correct solution uses memory-optimized E-series Virtual Machines in a Virtual Machine Scale Set spread across multiple Availability Zones to ensure high availability (99.99% SLA) and proper resource sizing. For the non-critical, interruptible batch workload, Spot Virtual Machines are used to minimize costs.

Step-by-Step Solution

1
Analyze the Claims Web API requirements.
The API requires memory-optimized virtual machines (high memory-to-vCPU ratio) and a high availability SLA of 99.99%.
This rules out compute-optimized (F-series) or storage-optimized (Ls-series) VMs, and demands deployment across multiple Availability Zones to meet the SLA.
2
Analyze the Reporting Generator requirements.
The reporting generator is a batch workload running overnight, which can tolerate interruptions and must minimize costs.
This makes it a perfect candidate for Spot Virtual Machines, which offer significant discounts. Azure Functions on a Consumption plan are ruled out due to the 10-minute timeout limit for long-running batch jobs.
3
Select the option that combines both correct services and deployment strategies.
The combination of E-series VMs in a multi-zone Virtual Machine Scale Set for the API and Spot VMs for the reporting workload meets all constraints.
This is the only configuration that satisfies both the performance/SLA targets of the API and the cost-optimization targets of the batch reporter without violating system limits.

Key Concept

Selecting Azure VM series and deployment architectures based on availability, performance, and cost constraints.
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Topics

Compute Virtualization Solutions

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