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AI-900: Deploying Real-time Inference Pipelines with Azure Machine Learning Designer

Explore how to deploy models from Azure Machine Learning designer to Azure Kubernetes Service (AKS), enabling real-time inference pipelines for seamless consumption.

Question

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 Learning 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.

Reference

Microsoft Learn > Azure > Machine Learning > What is Azure Machine Learning designer? > Deploy

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump