MLA-C01 · Question #204
MLA-C01 Question #204: Real Exam Question with Answer & Explanation
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Question
A company runs its ML workflows on an on-premises Kubernetes cluster. The ML workflows include ML services that perform training and inferences for ML models. Each ML service runs from its own standalone Docker image. The company needs to perform a lift and shift from the on-premises Kubernetes cluster to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Which solution will meet this requirement with the LEAST operational overhead?
Options
- ARedesign the ML services to be configured in Kubeflow. Deploy the new Kubeflow managed ML
- BUpload the Docker images to an Amazon Elastic Container Registry (Amazon ECR) repository.
- CMigrate the training data to an Amazon Redshift cluster. Retrain the models from the migrated
- DConfigure an Amazon SageMaker AI notebook. Retrain the models with the same code. Deploy
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