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What is the role of a 'model registry' in the deployment process?
Practice Questions
Q1
What is the role of a 'model registry' in the deployment process?
To store raw data
To manage model versions and metadata
To visualize model performance
To preprocess data
Questions & Step-by-Step Solutions
What is the role of a 'model registry' in the deployment process?
Steps
Concepts
Step 1: Understand that a model registry is like a library for machine learning models.
Step 2: Know that it keeps track of different versions of models, just like books have different editions.
Step 3: Realize that when you want to deploy a model, you can easily find and access the version you need from the registry.
Step 4: Remember that the registry also stores important information about each model, called metadata, which helps in understanding how to use them.
No concepts available.
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