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Difficulty: MediumCompute Virtualization Solutions

A logistics company is designing an Azure compute virtualization solution for its fleet management platform. The platform has two main requirements:

1. A core telemetry ingestion engine that runs continuously, requires consistent performance, must achieve a 99.99%99.99\% availability SLA, and requires memory-optimized virtual machines.
2. A daily route-optimization analysis job that runs for approximately 44 hours, is tolerant to interruptions, and should be implemented with the lowest possible cost.

Which two compute configurations should you include in the design?

  1. Azure Reserved Virtual Machines using Esv5-series VMs distributed across multiple Availability Zones for the telemetry ingestion engineAnswer
  2. Azure Spot Virtual Machines using Fsv2-series VMs for the route-optimization analysis jobAnswer
  3. C
    Azure Spot Virtual Machines using Esv5-series VMs for the core telemetry ingestion engine
  4. D
    Pay-as-you-go Esv5-series VMs deployed within a single Availability Zone for the telemetry ingestion engine
  5. E
    An Azure Functions Consumption plan to execute the route-optimization analysis job

Answer

The correct configurations are to use Azure Reserved Virtual Machines using Esv5-series VMs distributed across multiple Availability Zones for the telemetry ingestion engine, and Azure Spot Virtual Machines using Fsv2-series VMs for the route-optimization analysis job.
The correct configurations combine Azure Reserved Virtual Machines using Esv5-series VMs distributed across multiple Availability Zones for the telemetry ingestion engine with Azure Spot Virtual Machines using Fsv2-series VMs for the route-optimization analysis job. The telemetry engine is a continuous, steady-state workload requiring a memory-optimized series and a high SLA (99.99%99.99\%), which is achieved by deploying across multiple Availability Zones. Reserved instances reduce cost for this continuous running resource. The route-optimization job runs for a short duration and can tolerate interruptions, making Spot VMs the most cost-effective option.

Step-by-Step Solution

1
Analyze the requirements for the telemetry ingestion engine.
The engine is a steady-state workload requiring continuous performance, a memory-optimized profile, and high availability (99.99%99.99\% SLA).
This establishes that we need a memory-optimized VM series (like Esv5-series) deployed in a zone-redundant configuration with a purchasing model suitable for continuous operations (like Reserved Instances to minimize cost).
2
Analyze the requirements for the route-optimization analysis job.
The job runs for 44 hours daily, is compute-intensive, can tolerate interruptions, and needs the lowest cost.
This indicates that Spot VMs (which provide deep discounts for interruptible workloads) paired with a compute-optimized VM series (like Fsv2-series) are the best fit.
3
Evaluate the distractors against these requirements.
Using Spot VMs for the telemetry engine risks eviction and violates the SLA. Deploying the telemetry engine in a single Availability Zone lacks redundancy. Azure Functions Consumption plan times out after 1010 minutes, failing the 4-hour runtime requirement.
This confirms that only the selected options meet all performance, SLA, and duration constraints.

Key Concept

Selecting Azure VM series, purchasing models, and redundancy strategies based on SLA, duration, performance, and cost constraints.
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Topics

Compute Virtualization Solutions

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