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MLA-C01 · Question #187

MLA-C01 Question #187: Real Exam Question with Answer & Explanation

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Deployment and Orchestration of ML Workflows

Question

A company has built, trained, and tuned two new ML models: - Model A detects if a transaction is fraudulent based on the IP address, location, and user credentials. This model will be accessed every time a transaction occurs. - Model B forecasts sales totals for the next month based on historical sales data. This model will be accessed one time each month. The company must deploy both models to production by using Amazon SageMaker AI. Which hosting solution for the models should the company use to meet these requirements?

Options

  • AHost both models in one container behind one real-time endpoint.
  • BHost Model A with an asynchronous endpoint. Host Model B with a real-time endpoint.
  • CHost Model A with a real-time endpoint. Use batch transform for Model B.
  • DUse batch transform for Model A. Host Model B with an asynchronous endpoint.

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Topics

#SageMaker deployment#Real-time inference#Batch transform#Endpoint types
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