AI-102 Question 51
Single answerYou are tasked with deploying a custom AI model packaged in a Docker container to Azure. The solution must ensure scalability, automated container management, and integration with other Azure services. Which Azure service should you choose to meet these requirements?
- A
Azure Kubernetes Service (AKS)
- B
Azure Container Instances (ACI)
- C
Azure App Service
- D
Azure Functions
Show answer and explanation
Correct answer: A
Explanation
Azure Kubernetes Service (AKS) is the most appropriate solution for deploying and managing containerized AI models at scale. It offers advanced orchestration, automated scaling, and integrates well with other Azure services, making it ideal for production-grade AI deployments. Other options, while useful in specific contexts, do not provide the necessary level of orchestration and scalability for this scenario.
- A. Correct.
Azure Kubernetes Service (AKS) is the correct choice as it provides container orchestration, scalability, and integration with other Azure services. It is ideal for managing containerized workloads, especially when scalability and automation are required.
- B. Incorrect.
Azure Container Instances (ACI) is a lightweight solution for running containers but lacks advanced orchestration features like scaling and automated management found in AKS.
- C. Incorrect.
Azure App Service can host containerized applications but is more suited for web apps and APIs rather than complex container orchestration scenarios.
- D. Incorrect.
Azure Functions is a serverless compute service and not designed for running or managing containerized workloads at scale.