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MLA-C01 · Question #52

MLA-C01 Question #52: Real Exam Question with Answer & Explanation

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Deployment and Orchestration of ML Workflows

Question

An ML engineer needs to implement a solution to host a trained ML model. The rate of requests to the model will be inconsistent throughout the day. The ML engineer needs a scalable solution that minimizes costs when the model is not in use. The solution also must maintain the model's capacity to respond to requests during times of peak usage. Which solution will meet these requirements?

Options

  • ACreate AWS Lambda functions that have fixed concurrency to host the model. Configure the
  • BDeploy the model on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS
  • CDeploy the model to an Amazon SageMaker endpoint. Deploy multiple copies of the model to the
  • DDeploy the model to an Amazon SageMaker endpoint. Create SageMaker endpoint auto scaling

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Topics

#Model Deployment#SageMaker Endpoints#Auto Scaling#Cost Optimization
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