An agricultural technology company is designing the compute virtualization infrastructure … — Microsoft Azure Solutions Architect (AZ-305)

An agricultural technology company is designing the compute virtualization infrastructure for two distinct workloads:

* Workload A: A continuous, time-sensitive telemetry ingestion service that processes real-time sensor data from global farms. It must run 24/7, guarantee $99.99\%$ availability, and maintain low, predictable disk and network latency.
* Workload B: A batch-processing machine learning model that analyzes historical weather patterns to generate seasonal yield predictions. The model runs once a week, takes approximately $6$ hours to complete, and can resume from checkpoints if interrupted.

The company wants to minimize compute costs for Workload B while ensuring Workload A meets its performance and availability SLAs. Which two compute configurations should you recommend to meet these requirements?

Deploy Workload A on Azure Virtual Machines distributed across multiple Availability Zones using Premium SSDs.Cevap
Deploy Workload B on Azure Spot Virtual Machines.Cevap
C
Deploy Workload A on Azure Spot Virtual Machines.
D
Deploy Workload B on Azure Functions using a Consumption plan.

Cevap

Deploy Workload A on Azure Virtual Machines distributed across multiple Availability Zones using Premium SSDs, and deploy Workload B on Azure Spot Virtual Machines.

To meet the requirements of both workloads, Workload A must be deployed on standard Virtual Machines across multiple Availability Zones with Premium SSDs to guarantee a

99.99\%

availability SLA and low-latency performance. Workload B must be deployed on Azure Spot Virtual Machines to achieve the lowest possible compute cost while accommodating the interruptible nature of the weekly batch run.

Adım Adım Çözüm

Analyze the availability and latency requirements for Workload A.

Workload A requires 24/7 availability with a

99.99\%

SLA and low, predictable disk latency.

This establishes the baseline infrastructure tier needed to prevent service interruption.

Select the appropriate compute and storage configuration for Workload A.

Distributing standard Virtual Machines across multiple Availability Zones provides a

99.99\%

SLA. Configuring them with Premium SSDs meets the low-latency storage requirements.

This meets the SLA requirements without the eviction risk associated with Spot VMs.

Analyze the run frequency, duration, and cost requirements for Workload B.

Workload B runs weekly for

6

hours, can resume from checkpoints if interrupted, and must have the lowest possible compute cost.

This identifies the tolerance for interruption and the primary optimization goal.

Evaluate and select the cost-effective compute option for Workload B.

Azure Spot VMs offer the lowest compute cost. Since the workload can tolerate interruptions, the eviction policy is acceptable. Serverless Consumption plans are ruled out due to execution timeouts.

This maximizes cost savings while avoiding execution failures due to timeout limits.

Anahtar Kavram

Selecting Azure compute solutions based on availability SLAs, workload interruption tolerance, and execution durations.

Tahmini Süre:2m 30s

Soru

Cevap

Adım Adım Çözüm

Anahtar Kavram

Sık Yapılan Hatalar

Konular

Bu konudan daha fazla soru