DP-100 Question #180: Real Exam Question with Answer & Explanation

Question

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 have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. An IT department creates the following Azure resource groups and resources: The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster in the Azure Machine Learning workspace. You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are 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 and then run the training script as an experiment on local compute. Does the solution meet the goal?

Options

• AYes
• BNo

Explanation

{"question_number": 1, "question_summary": "Training a model using an AKS-based inference compute target on a Surface Book with GPU (Solution variant 1)", "correct_answer": "B (No)", "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.", "generated_by": "claude-sonnet", "llm_judge_score": 3}

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