
Explanation:
The correct answer is 'No' (B) because the Join Data module is specifically designed for database-style joins between two datasets based on common keys, not for adding a single feature column to an existing dataset. The community discussion strongly supports this with 76% choosing B, and the most upvoted comment (14 upvotes) explicitly states that 'Add Columns' should be used instead for this scenario. While some comments suggested that joining could theoretically add features if the data exists in another dataset, the consensus and official documentation indicate that Join Data is not the appropriate tool for simply adding and populating a new feature column in a single dataset.
Ultimate access to all questions.
No comments yet.
You are performing feature engineering on a dataset. You need to add a new feature and populate its column values.
Recommendation: Use the Join Data module in Azure Machine Learning Studio.
Does this recommendation meet the requirement?
A
Yes
B
No