DP-100 · Question #180
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…
The correct answer is B. No. AKS (Azure Kubernetes Service) compute targets in Azure Machine Learning are designated as inference compute targets-they are used to deploy and serve trained models, not to train them. Training jobs must be submitted to a training compute target such as an Azure ML Compute…
Question
Options
- AYes
- BNo
How the community answered
(52 responses)- A46% (24)
- B54% (28)
Explanation
AKS (Azure Kubernetes Service) compute targets in Azure Machine Learning are designated as inference compute targets-they are used to deploy and serve trained models, not to train them. Training jobs must be submitted to a training compute target such as an Azure ML Compute cluster (AmlCompute), a remote VM, or local compute. Attempting to submit a training run to an AKS inference cluster will fail. Additionally, having a local GPU on a Surface Book does not automatically make that GPU available to a remote AKS cluster. Therefore, the proposed solution does not meet the goal, and the answer is No.
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