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What is the role of a REST API in model deployment?

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Question: What is the role of a REST API in model deployment?

Options:

  1. To train the model
  2. To serve predictions from the model
  3. To visualize model performance
  4. To preprocess input data

Correct Answer: To serve predictions from the model

Solution: 

A REST API serves predictions from the deployed model, allowing applications to interact with it.

What is the role of a REST API in model deployment?

Practice Questions

Q1
What is the role of a REST API in model deployment?
  1. To train the model
  2. To serve predictions from the model
  3. To visualize model performance
  4. To preprocess input data

Questions & Step-by-Step Solutions

What is the role of a REST API in model deployment?
  • Step 1: A model is created using data and algorithms to make predictions.
  • Step 2: The model is deployed to a server so it can be accessed by other applications.
  • Step 3: A REST API is created to provide a way for applications to communicate with the deployed model.
  • Step 4: The REST API allows applications to send data to the model and receive predictions in return.
  • Step 5: Applications can use these predictions to make decisions or provide services to users.
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