If you have a large number of attributes on a feature, but only want to keep a few, which transformer is best to remove unwanted attributes?

If you have a large number of attributes on a feature, but only want to keep a few, which transformer is best to remove unwanted attributes?

• A. BulkAttributeRemover
• B. AttributeKeeper
• C. AttributeRemover
• D. AttributeManager

Answer: (B)

Keep only the attributes you want by listing them. The AttributesKeeper is designed to retain just the attributes you specify and drop everything else, which is exactly what you need when there are many attributes but only a small subset should remain downstream. If you used a remover approach, you’d have to enumerate every attribute to delete, which becomes tedious and error-prone as the total number of attributes grows. The BulkRemover has a similar drawback, focusing on removing attributes rather than selecting a precise keep-set. The AttributeManager handles broader attribute-management tasks but isn’t specifically about pruning to a small, fixed subset of attributes.

Keep only the attributes you want by listing them. The AttributesKeeper is designed to retain just the attributes you specify and drop everything else, which is exactly what you need when there are many attributes but only a small subset should remain downstream.

If you used a remover approach, you’d have to enumerate every attribute to delete, which becomes tedious and error-prone as the total number of attributes grows. The BulkRemover has a similar drawback, focusing on removing attributes rather than selecting a precise keep-set. The AttributeManager handles broader attribute-management tasks but isn’t specifically about pruning to a small, fixed subset of attributes.