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MLA-C01 · Question #136

MLA-C01 Question #136: Real Exam Question with Answer & Explanation

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Deployment and Orchestration of ML Workflows

Question

A company is developing a new online application to gather information from customers. An ML engineer has developed a new ML model that will determine a score for each customer. The model will use the score to determine which product to display to the customer. The ML engineer needs to minimize response-time latency for the model. How should the ML engineer deploy the application in Amazon SageMaker to meet these requirements?

Options

  • AConfigure batch transform.
  • BConfigure a real-time inference endpoint.
  • CConfigure a serverless inference endpoint.
  • DConfigure an asynchronous inference endpoint.

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Topics

#SageMaker Inference#Real-time Inference#Low Latency#Model Deployment
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