Learn how to deploy real-time inference pipelines in Azure Machine Learning Designer. Deploy models to Azure Kubernetes Service for efficient consumption and scalability.
Table of Contents
Question
To complete the sentence, select the appropriate option in the answer area.
From Azure Machine Learning designer, to deploy a real-time inference pipeline as a service for others to consume, you must deploy the model to __________.
A. a local web service.
B. Azure Container Instances.
C. Azure Kubernetes Service (AKS).
D. Azure Machine Larning compute.
Answer
C. Azure Kubernetes Service (AKS).
Explanation
To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint. Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.
To deploy a real-time inference pipeline in Azure Machine Learning designer for others to consume, you must deploy the model to option C: Azure Kubernetes Service (AKS). AKS facilitates scalable and managed Kubernetes clusters, ensuring efficient deployment and serving of machine learning models as a service.
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