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Difficulty: MediumCompute Virtualization Solutions

A biotechnology firm is designing the Azure compute virtualization infrastructure for two workloads:
- Genomic Sequencing Analyzer: A batch processing job that executes for up to 4545 minutes per run. It is highly resource-intensive, interruptible, can save progress to a checkpoint database, and must be optimized for the lowest possible compute costs.
- Customer Operations Portal: A steady-state web application database backend that requires a 99.99%99.99\% availability SLA and is critical to business continuity.

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

  1. Deploy the Genomic Sequencing Analyzer on Virtual Machine Scale Sets utilizing Azure Spot Virtual Machines.Answer
  2. Deploy the Customer Operations Portal across multiple Azure Availability Zones using Virtual Machine Scale Sets in Flexible orchestration mode.Answer
  3. C
    Deploy the Customer Operations Portal on Virtual Machine Scale Sets utilizing Azure Spot Virtual Machines to reduce ongoing operational costs.
  4. D
    Deploy all virtual machine instances for the Customer Operations Portal within a single Azure Availability Zone to simplify network routing.
  5. E
    Run the Genomic Sequencing Analyzer on Azure Functions under a Consumption plan to eliminate compute cost when idle.

Answer

Deploy the Genomic Sequencing Analyzer on Virtual Machine Scale Sets utilizing Azure Spot Virtual Machines, and deploy the Customer Operations Portal across multiple Azure Availability Zones using Virtual Machine Scale Sets in Flexible orchestration mode.
The correct solution recommends utilizing Azure Spot VMs on Virtual Machine Scale Sets for the genomic sequencing analyzer because it is a cost-effective, interruptible batch workload that can resume from checkpoints. It also recommends deploying the customer operations portal across multiple Availability Zones in Flexible orchestration mode to ensure high availability and redundancy to meet the 99.99%99.99\% uptime SLA.

Step-by-Step Solution

1
Analyze the Genomic Sequencing Analyzer requirements: runs up to 4545 minutes, resource-intensive, interruptible (checkpointed), and requires lowest cost.
Identify that Azure Spot VMs on Virtual Machine Scale Sets are appropriate. Eliminate the Azure Functions Consumption plan because its 1010-minute limit would cause timeout failures.
Spot VMs offer significant discounts for interruptible workloads, whereas the Functions Consumption plan has a hard timeout limit.
2
Analyze the Customer Operations Portal database requirements: steady-state, 99.99%99.99\% availability SLA, critical to business continuity.
Determine that standard VM instances must be deployed across multiple Availability Zones to ensure high availability. Eliminate the Spot VM option and single zone deployment.
Spot VMs are subject to eviction and cannot guarantee an SLA, and a single availability zone does not provide regional redundancy.

Key Concept

Selecting Azure compute resources based on workload characteristics, SLA, cost, and availability requirements.
Estimated Time:2m 0s
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Topics

Compute Virtualization Solutions

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