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Difficulty: HardCompute Virtualization Solutions

A meteorological modeling company is designing the Azure compute virtualization infrastructure for two distinct workloads:

* Workload 1: A weather simulation model that runs daily. The model requires Message Passing Interface (MPI) support with sub-millisecond node-to-node latency, high CPU performance, and cannot tolerate interruptions during its four-hour execution window.
* Workload 2: A public-facing web API providing real-time weather alerts that requires a minimum availability SLA of 99.99% and must scale automatically to handle sudden traffic spikes.

Which two virtual machine configurations should you recommend to meet the requirements? (Select two.)

  1. Deploy Workload 1 on HBv3-series virtual machines within a proximity placement group.Answer
  2. Deploy Workload 2 using Virtual Machine Scale Sets in Flexible orchestration mode spread across multiple Availability Zones.Answer
  3. C
    Deploy Workload 1 on Dv5-series Spot virtual machines inside a proximity placement group.
  4. D
    Deploy Workload 2 using a Virtual Machine Scale Set in Uniform orchestration mode restricted to a single Availability Zone.

Answer

Deploy Workload 1 on HBv3-series virtual machines within a proximity placement group, and deploy Workload 2 using Virtual Machine Scale Sets in Flexible orchestration mode spread across multiple Availability Zones.
The correct configurations are deploying the weather simulation on HBv3-series virtual machines in a proximity placement group, and deploying the API on Virtual Machine Scale Sets in Flexible orchestration mode across multiple Availability Zones. HBv3-series provides the InfiniBand networking and high compute capacity needed for MPI simulation workloads, and the proximity placement group ensures lowest possible latency by placing VMs physically close. Virtual Machine Scale Sets in Flexible orchestration mode distributed across multiple Availability Zones provide the autoscaling functionality and meet the 99.99% VM SLA requirement.

Step-by-Step Solution

1
Analyze Workload 1 requirements for MPI support, sub-millisecond node-to-node latency, and no tolerance for interruptions.
Identify that HBv3-series virtual machines (HPC-optimized with InfiniBand) are required, and a proximity placement group must be used to keep latency minimal. Spot VMs must be avoided because they can be evicted, which violates the zero-interruption constraint.
Ensures that the compute selection matches the networking and performance requirements of the simulation model.
2
Analyze Workload 2 requirements for a 99.99% availability SLA and autoscaling capability.
Determine that achieving a 99.99% VM SLA in Azure requires distributing virtual machines across multiple Availability Zones in the same region. Virtual Machine Scale Sets with Flexible orchestration mode provide both auto-scaling capabilities and zonal redundancy.
Ensures the high-availability and scale targets are met using Azure best practices.
3
Select the two options that match the identified configurations.
Choose the configurations recommending HBv3-series with proximity placement groups, and Virtual Machine Scale Sets in Flexible orchestration mode across multiple zones.
Provides the complete recommended architecture satisfying all business and technical constraints.

Key Concept

Designing compute virtualization solutions in Azure requires matching VM series capabilities (such as HPC-optimized HBv3-series with InfiniBand for MPI workloads) and architectural patterns (such as multi-zone Virtual Machine Scale Sets in Flexible orchestration mode for high-availability SLAs) to workload constraints.
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Topics

Compute Virtualization Solutions

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