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What is the main benefit of using a model registry in deployment?

Practice Questions

Q1
What is the main benefit of using a model registry in deployment?
  1. To store raw data
  2. To manage model versions and metadata
  3. To visualize model performance
  4. To automate data collection

Questions & Step-by-Step Solutions

What is the main benefit of using a model registry in deployment?
  • Step 1: Understand that a model registry is a tool used to keep track of different versions of machine learning models.
  • Step 2: Recognize that each version of a model can have important information, called metadata, that describes how it was created and its performance.
  • Step 3: Realize that using a model registry allows you to easily find and use the right version of a model when deploying it.
  • Step 4: Acknowledge that this helps in tracking changes over time, ensuring that you know which model is currently in use and how it behaves.
  • Step 5: Conclude that better tracking and governance of models leads to improved reliability and accountability in deployments.
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