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MLA-C01 · Question #165

A company has trained an ML model that is packaged in a container. The company will integrate the model with an existing Python web application. The company needs to host the model on AWS by using Kub

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Deployment and Orchestration of ML Workflows

Question

A company has trained an ML model that is packaged in a container. The company will integrate the model with an existing Python web application. The company needs to host the model on AWS by using Kubernetes. The company does not want to manage the control plane and must provision the resources in a repeatable manner. The infrastructure must be provisioned by using Python. Which solution will meet these requirements?

Options

  • AUse AWS CloudFormation to provision Amazon EC2 instances in multiple Availability Zones. Set
  • BUse the AWS CLI to provision an Amazon Elastic Kubernetes Service (Amazon EKS) cluster.
  • CUse the AWS Cloud Development Kit (AWS CDK) to provision an Amazon Elastic Kubernetes
  • DUse AWS CloudFormation to provision an Amazon Elastic Kubernetes Service (Amazon EKS)

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Topics

#AWS CDK#Amazon EKS#Infrastructure as Code#ML Model Deployment
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