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Scenario: The Tivan Group, a prestigious and powerful organization in the galactic community, is credited with founding Knowhere. Under the leadership of Taneleer Tivan (The Collector), the group is implementing Microsoft Azure into its operations. Project Details: The IT team has been actively setting up an Azure Machine Learning workspace, creating Azure resource groups and key resources, including: ml_resources: Storage, Key Vault, Container Registry, and Application Insights instances. general_compute: A virtual machine (mlvm) configured with Ubuntu Linux, Python 3.6, Jupyter Notebooks, and an NC6 GPU-enabled setup. Additionally, the team has established an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster within the Azure Machine Learning workspace. Task Requirement: As an expert consultant, you need to: Install the Azure ML SDK on a Microsoft Surface Book (equipped with a GPU, Python 3.6, and Visual Studio Code). Run Python code to connect to the Azure Machine Learning workspace. Execute a training script to train a deep neural network (DNN) model and log loss and accuracy metrics as an experiment on the aks-cluster compute target. Question: Given this setup, will the solution work properly?