You are performing feature engineering on a dataset. You must add a feature named CityName and populate the column value with the text London. You need to add the new feature to the dataset. Which Azure Machine Learning Studio module should you use?
Everything you use as an input for you model is a feature. So if you add a column in your pipeline it will be used as a feature unless you filter it out somewhere or specify not to use it.
after careful reading of all the threads below, I am going with C. As with edit metadata, you can mark a variable as a feature but can't create a new feature or column that has text as values. You need code for that, which in execute python script.
Well Guys, I do not agree :
answer is correct
By ML studio drag the module , a couple of click and the work is done...
You can achieve it by the script, you can do anything by script, sure, but you're getting lost in a glass of water....
To add a new feature named CityName to a dataset and populate the column value with the text London in Azure Machine Learning Studio, you should use the Execute Python Script module (Option C). Option A (Edit Metadata) is used to modify the metadata of a dataset, such as changing column names or data types, but it cannot be used to add new columns or modify the data itself.
SaM
The correct Azure Machine Learning Studio module to add a new feature named CityName and populate it with the text "London" is:
A. Edit Metadata
The Edit Metadata module in Azure Machine Learning Studio allows you to modify the metadata of your dataset, including adding or renaming columns. In this case, you can use the Edit Metadata module to add a new column named "CityName" and set its value as "London" for every row in the dataset.
Edit Metadata module doesn't allow you to add new column, neither set its values
RTFM
https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/edit-metadata?view=azureml-api-2
The question requires that we populate (alter) the column value but Edit Metadata module does not alter the values and the data types.
From this link: https://docs.microsoft.com/en-us/previous-versions/azure/machine-learning/studio-module-reference/edit-metadata
This article describes how to use the Edit Metadata module in Machine Learning Studio (classic) to change metadata that is associated with columns in a dataset. The values and the data types in the dataset are not actually altered; what changes is the metadata inside Machine Learning that tells downstream components how to use the column.
I think question is bit tricky but if you focus key question then it is asking the way to add any new feature into dataset (even if it is a new or existing column added through python but adding new feature means changing metadata of a column to mark it as feature) which can be done by metadata only! And so A should be the correct answer.
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