You are designing a Computer Vision AI application. You need to recommend a deployment solution for the application. The solution must ensure that costs scale linearly without any upfront costs. What should you recommend?
A.
a containerized Computer Vision API on Azure Kubernetes Service (AKS) that has autoscaling configured
B.
the Computer Vision API as a single resource
C.
an Azure Container Service
D.
a containerized Computer Vision API on Azure Kubernetes Service (AKS) that has virtual nodes configured
Suggested Answer:A🗳️
Containers enable you to run the Computer Vision APIs in your own environment. Note: The host is a x64-based computer that runs the Docker container. It can be a computer on your premises or a Docker hosting service in Azure, such as: ✑ Azure Container Instances. ✑ Azure Kubernetes Service. ✑ A Kubernetes cluster deployed to Azure Stack. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/computer-vision-how-to-install-containers
D. a containerized Computer Vision API on Azure Kubernetes Service (AKS) that has virtual nodes configured
To deploy a Computer Vision AI application that scales linearly without any upfront costs, you should use a containerized Computer Vision API on Azure Kubernetes Service (AKS) that has virtual nodes configured
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rveney
2 years agoiyiola_daniel
4 years ago