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MLA-C01 · Question #57

MLA-C01 Question #57: Real Exam Question with Answer & Explanation

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Deployment and Orchestration of ML Workflows

Question

A company has an ML model that needs to run one time each night to predict stock values. The model input is 3 MB of data that is collected during the current day. The model produces the predictions for the next day. The prediction process takes less than 1 minute to finish running. How should the company deploy the model on Amazon SageMaker to meet these requirements?

Options

  • AUse a multi-model serverless endpoint. Enable caching.
  • BUse an asynchronous inference endpoint. Set the InitialInstanceCount parameter to 0.
  • CUse a real-time endpoint. Configure an auto scaling policy to scale the model to 0 when the
  • DUse a serverless inference endpoint. Set the MaxConcurrency parameter to 1.

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Topics

#SageMaker inference#Serverless inference#Model deployment#Cost optimization
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