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What is a common practice to ensure the reliability of a deployed model?

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Question: What is a common practice to ensure the reliability of a deployed model?

Options:

  1. Regularly retraining the model with new data
  2. Using a single model version indefinitely
  3. Ignoring user feedback
  4. Deploying without monitoring

Correct Answer: Regularly retraining the model with new data

Solution: 

Regularly retraining the model with new data helps ensure its reliability and accuracy in changing environments.

What is a common practice to ensure the reliability of a deployed model?

Practice Questions

Q1
What is a common practice to ensure the reliability of a deployed model?
  1. Regularly retraining the model with new data
  2. Using a single model version indefinitely
  3. Ignoring user feedback
  4. Deploying without monitoring

Questions & Step-by-Step Solutions

What is a common practice to ensure the reliability of a deployed model?
  • Model Retraining – The process of updating a machine learning model with new data to maintain its performance and accuracy over time.
  • Model Reliability – The ability of a model to consistently perform well in various conditions and with new data.
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