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Difficulty: MediumCompute Virtualization Solutions

A logistics company is designing the Azure compute virtualization infrastructure for its operations platform. The platform consists of two workloads:

* Workload A: A fleet telemetry ingestion service that runs continuously, requires a 99.99%99.99\% availability SLA, and cannot tolerate unexpected interruptions or evictions.
* Workload B: A monthly inventory forecasting simulation that can run asynchronously, can be paused and resumed, and must minimize costs as much as possible.

Which two compute configurations should you recommend to meet these requirements? (Select two.)

  1. Deploy Workload A on a Virtual Machine Scale Set in Flexible orchestration mode spread across multiple availability zones.Answer
  2. B
    Deploy Workload A on Azure Spot Virtual Machines.
  3. C
    Deploy Workload A on virtual machines restricted to a single availability zone.
  4. Deploy Workload B on Azure Spot Virtual Machines.Answer

Answer

Deploy Workload A on a Virtual Machine Scale Set in Flexible orchestration mode spread across multiple availability zones, and deploy Workload B on Azure Spot Virtual Machines.
Deploying the telemetry service on a Virtual Machine Scale Set in Flexible orchestration mode across multiple availability zones satisfies the high availability SLA and ensures continuous operation without eviction risk. Deploying the inventory forecasting simulation on Azure Spot VMs utilizes deeply discounted compute capacity that matches the workload's tolerance for pauses and interruptions.

Step-by-Step Solution

1
Evaluate Workload A's availability and resilience requirements.
Identify that Workload A requires a 99.99%99.99\% SLA and cannot tolerate interruptions.
This rules out interruptible compute configurations and single-zone deployments.
2
Evaluate Workload B's operational flexibility and cost constraints.
Identify that Workload B can tolerate pauses, run asynchronously, and has a primary constraint of minimizing cost.
This makes Workload B an ideal candidate for discounted, interruptible compute options.
3
Map the evaluated workloads to their optimal Azure compute virtualization options.
Select Virtual Machine Scale Sets in Flexible orchestration mode across availability zones for Workload A to ensure SLA adherence, and select Spot VMs for Workload B to optimize costs.
This combination successfully meets all SLA, performance, and budget constraints.

Key Concept

Selecting Azure compute virtualization services based on availability, eviction tolerance, and cost constraints.
Estimated Time:2m 0s
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Topics

Compute Virtualization Solutions

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