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What is the role of a feature store in MLOps?
Practice Questions
Q1
What is the role of a feature store in MLOps?
To store raw data
To manage and serve features for ML models
To deploy models
To monitor model performance
Questions & Step-by-Step Solutions
What is the role of a feature store in MLOps?
Steps
Concepts
Step 1: Understand that a feature is a piece of data used by a machine learning model to make predictions.
Step 2: Recognize that a feature store is a system that stores these features in one place.
Step 3: Learn that the feature store helps manage features, making it easier to find and use them.
Step 4: Know that it ensures consistency, meaning the same feature is used in the same way across different models.
Step 5: Realize that reusability is important, as features can be shared among different models, saving time and effort.
No concepts available.
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