AI-100 · Question #139
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…
The correct answer is A. a containerized Computer Vision API on Azure Container Instances. 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…
Question
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?
Options
- Aa containerized Computer Vision API on Azure Container Instances
- Bthe Computer Vision API as a single resource
- Can Azure Container Service
- Da containerized Computer Vision API on Azure Kubernetes Service (AKS) that has virtual nodes
How the community answered
(19 responses)- A74% (14)
- B5% (1)
- C16% (3)
- D5% (1)
Explanation
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. https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/computer-vision-how- to-install-containers
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