Microsoft Azure AI Fundamentals AI-900 Practice Question
A data scientist needs to train a machine learning model using a large dataset that requires distributed training across multiple nodes in Azure Machine Learning.
Which Azure service should the data scientist use to efficiently scale and manage the training workload?
Azure Machine Learning Compute Clusters are the appropriate choice for scalable and managed compute resources that support distributed machine learning workloads. They can automatically scale based on demand and are designed for training models at scale.
Azure Virtual Machines provide basic computing resources but lack the automated scaling and management features.
Azure Functions are serverless compute services intended for running small pieces of code, not for training machine learning models.
Azure Machine Learning Compute Instances are suitable for development and testing but are not optimized for distributed training across multiple nodes.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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