Learn what you see when selecting a CSV file in Watson Studio’s All Assets view during the IBM Artificial Intelligence Fundamentals certification exam. Understand key steps in preparing data for machine learning models.
Table of Contents
Question
When you selected the CSV file in All assets, what did you see?
A. A proposed name for your project
B. A preview of the data to used when training your model
C. A set of provision options for Watson Machine Learning
D. A list of possible storage locations
Answer
B. A preview of the data to used when training your model
Explanation
A CSV file is a set of comma-delineated data. When you select the CSV file in the All assets tab, the Preview asset tab displays showing the data you can use to train your model.
When you select a CSV file in All assets within IBM Watson Studio, you typically see a preview of the data to be used when training your model
This allows you to quickly verify the data and ensure it’s ready for use in your machine learning model.
When you select a CSV file in the All Assets view of Watson Studio, you are shown a preview of the data that will be used when training your machine learning model.
After choosing the CSV file containing your training data, Watson Studio will display a sample of the data in tabular format. This allows you to visually inspect the data to ensure it looks as expected before proceeding. You can view the column headers and several rows of actual data from the CSV.
This preview is an important step that allows you to confirm you have selected the right data file and that the data is structured properly for use in training a machine learning model. You can verify that the necessary columns are present and spot any obvious data quality issues.
However, the All Assets preview does not allow you to set provisioning options, select a storage location, or name your project. Those steps come later in the process of preparing data and configuring your machine learning project in Watson Studio.
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