Answer-first summary for fast verification
Answer: No
The recommendation to use the Join Data module does not meet the requirement of adding a new feature column and populating its values. The Join Data module is specifically designed for database-style joins between two datasets based on key columns, which requires a second dataset with matching keys. For simply adding a new feature column to an existing dataset (without requiring a second dataset), the Add Columns module is more appropriate as it appends columns from one dataset to another without requiring key matching. The community discussion strongly supports this with 76% selecting 'No' and multiple comments explaining that Join Data is for merging datasets via keys, not for general feature addition. While one could theoretically use Join Data if the new feature exists in a second dataset with matching keys, the question implies a general feature addition scenario where Join Data is not the optimal choice.
Author: LeetQuiz Editorial Team
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You are performing feature engineering on a dataset. You need to add a new feature column and populate its values.
Recommendation: Use the Join Data module in Azure Machine Learning Studio.
Does this recommendation meet the requirement?
A
Yes
B
No