DP-100 Exam Dumps | You are performing feature engineering on a dataset. You must add a feature named CityName and populate

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Question 15/178

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?

A. Edit Metadata

B. Preprocess Text

C. Execute Python Script

D. Latent Dirichlet Allocation

Correct Answer: A

Explanation
Typical metadata changes might include marking columns as features.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/edit-metadata

Recent Comments (The most recent comments are at the top.)

efor - Oct 23, 2024

The correct answer is C. Execute Python Script.

To add a new feature (column) such as CityName and populate it with a constant value (e.g., "London"), you would use the Execute Python Script module in Azure Machine Learning Studio. This module allows you to run custom Python code to manipulate your dataset, which is ideal for tasks like adding new features or columns programmatically.

For example, you could write a simple Python script that adds the "CityName" column to your dataset and sets all its values to "London."

Other options:

A. Edit Metadata is used to change the data type or labels of existing columns, but it cannot be used to add new columns.
B. Preprocess Text is used for text-specific feature engineering, such as tokenization, but it doesn't add new columns directly.
D. Latent Dirichlet Allocation (LDA) is for topic modeling in natural language processing, not for adding or manipulating dataset features.

Zenagebrel - Mar 28, 2024

Execute Python Script is possibly the answer

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