MLA-C01 · Question #147
MLA-C01 Question #147: Real Exam Question with Answer & Explanation
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Question
An ML engineer needs to deploy a trained model that is based on a genetic algorithm. The algorithm solves a complex problem and can take several minutes to generate predictions. When the model is deployed, the model needs to access large amounts of data to process requests. The requests can involve as much as 100 MB of data. Which deployment solution will meet these requirements with the LEAST operational overhead?
Options
- ADeploy the model to Amazon EC2 instances in an Auto Scaling group behind an Application Load
- BDeploy the model to an Amazon SageMaker real-time endpoint.
- CDeploy the model to an Amazon SageMaker Asynchronous Inference endpoint.
- DPackage the model as a container. Deploy the model to Amazon Elastic Container Service
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