Answer-first summary for fast verification
Answer: No
The solution does not meet the goal because AKS-based inference compute targets in Azure Machine Learning are designed for deploying and hosting models (inference), not for training models. The community discussion strongly supports this with high upvotes (e.g., 19 and 13 upvotes) for comments stating that AKS is for inference, not training. While there is a mention of AKS clusters potentially supporting training in preview or with specific configurations (e.g., Arc Kubernetes), the question specifies an 'AKS-based inference compute target' in the Azure Machine Learning workspace, which is explicitly for inference. Training a DNN model requires a compute target like Azure ML Compute, Azure ML Compute Instances, or Azure VMs, not an inference cluster. Thus, the correct answer is 'No' (B).
Author: LeetQuiz Editorial Team
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An IT department creates Azure resource groups and resources, including an Azure Machine Learning workspace and an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster.
You have a Microsoft Surface Book computer with a GPU, Python 3.6, and Visual Studio Code installed.
You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics.
Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace. Run the training script as an experiment on the aks-cluster compute target.
Does the solution meet the goal?
A
Yes
B
No
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