Answer-first summary for fast verification
Answer: Azure Machine Learning compute clusters
The question requires deploying a machine learning model using a low-priority VM for cost savings. Azure Machine Learning compute clusters (Option B) specifically support low-priority VMs, which offer significant pricing discounts compared to dedicated VMs, though they can be preempted if Azure needs capacity for higher-priority tasks. This aligns with Azure ML documentation and best practices for cost-effective, non-critical deployments. Option A (AKS) and Option C (ACI) do not natively support low-priority VMs in the context of Azure ML model deployment, and Option D (local deployment) does not involve VMs at all, making B the only correct choice. The community discussion confirms this with 100% consensus and references to official Microsoft documentation.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You are deploying a machine learning model from your Azure Machine Learning workspace to a compute target that uses a low-priority VM for a pricing discount.
Which compute target should you use?
A
Azure Kubernetes Service (AKS)
B
Azure Machine Learning compute clusters
C
Azure Container Instances (ACI)
D
Local deployment
No comments yet.