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In a machine learning project, you have a trained model and a new batch of data to make predictions. Explain the concept of feature caching in a feature store and provide a step-by-step process to cache features for faster scoring in Databricks, including the necessary code snippets.
Explanation:
Option B correctly explains the concept of feature caching in a feature store and provides a step-by-step process to cache features for faster scoring in Databricks, including the necessary code snippets. Option A provides a brief explanation of feature caching but does not include the process or code. Option C is incorrect as it states that feature caching is not necessary. Option D suggests a manual approach for caching features, which is not the best practice when using a feature store.