Question 71 · 417 in bank
A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model. The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure. Which solution will meet these requirements?
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Answer: A
Explanation
Use Amazon SageMaker Serverless Inference to deploy the model: Amazon SageMaker Serverless Inference allows you to deploy machine learning models in a fully managed, serverless environment. You don't need to manage the underlying infrastructure (such as EC2 instances) to handle predictions. This is ideal for scenarios like yours, where the model needs to be deployed and used by a web application, and scalability and infrastructure management should be abstracted away.
Source: Adapted from community discussion — Jessiii