In Azure Machine Learning, which component is used to deploy trained models to provide real-time predictions via web services?
Azure Blob Storage
Azure Machine Learning Pipelines
Azure Machine Learning Compute Instances
Azure Machine Learning Endpoints
Azure Machine Learning Endpoints allow you to deploy trained machine learning models as web services, enabling real-time predictions through RESTful APIs.
Azure Machine Learning Pipelines are used to build and manage automated workflows.
Azure Machine Learning Compute Instances provide development environments for machine learning tasks.
Azure Blob Storage is a service for storing unstructured data.
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