Databricks Certified Machine Learning - Associate
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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 lineage in a feature store and provide a step-by-step process to trace the lineage of features used for scoring the model in Databricks, including the necessary code snippets.
In a machine learning project, you have a trained model and a new batch of data to make predictions. Explain the concept of feature lineage in a feature store and provide a step-by-step process to trace the lineage of features used for scoring the model in Databricks, including the necessary code snippets.
Simulated
A
Feature lineage in a feature store is the process of tracking the origin, transformation, and usage of features throughout the machine learning pipeline.
12.0%
B
To trace the lineage of features used for scoring the model in Databricks, first, retrieve the features from the feature store table using the feature store API. Then, analyze the metadata associated with the features, such as the source dataset, transformation steps, and version history. Finally, use this information to understand the origin and transformation of the features used for scoring the model.
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