Microsoft Azure AI Fundamentals AI-900 Practice Question
A data scientist is building a machine learning model using Azure Machine Learning. They require a cloud-based environment for interactive development with pre-configured tools such as Jupyter notebooks.
They should select an Azure Machine Learning Compute Instance. Compute Instances provide a fully managed cloud-based workstation with popular tools like Jupyter notebooks pre-installed, making it ideal for interactive development and testing.
Azure Machine Learning Compute Cluster is intended for large-scale training and batch inference jobs, not interactive work.
Azure Databricks is an analytics platform optimized for big data processing and machine learning but is separate from Azure Machine Learning's interactive development environment.
Azure Kubernetes Service (AKS) is used for deploying and managing containers at scale, which is more suitable for deploying trained models rather than developing them.
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What are Azure Machine Learning Compute Instances?
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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