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Answer: The URL of the endpoint., The key for the endpoint.
To consume a deployed Azure Machine Learning model as a real-time web service, application developers need the endpoint URL (scoring URI) to send HTTP requests and the authentication key (if enabled) to access the secured endpoint. The URL (C) specifies where to send data for predictions, while the key (E) provides authentication credentials. The AKS cluster name (A), inference pipeline name (B), and run ID (D) are internal deployment details not required for consuming the endpoint, as confirmed by the community discussion and official documentation.
Author: LeetQuiz Editorial Team
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You create a machine learning model using Azure Machine Learning designer and publish it as a real-time service on an Azure Kubernetes Service (AKS) inference cluster. The endpoint configuration remains unchanged.
Which two values must you provide to application developers to enable them to consume the endpoint? Each correct answer presents part of the solution.
A
The name of the AKS cluster where the endpoint is hosted.
B
The name of the inference pipeline for the endpoint.
C
The URL of the endpoint.
D
The run ID of the inference pipeline experiment for the endpoint.
E
The key for the endpoint.
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