Learn the key differences between adding datasets as Assets vs Resources in IBM Watson Studio. Discover the correct terminology for the AI Fundamentals certification exam.
Table of Contents
Question
Which of the following did you add your data set as in IBM Watson Studio?
A. Resource
B. Asset
C. Project
D. Artifact
Answer
B. Asset
Explanation
In IBM Watson Studio, your data set is considered an asset. To add a data set, you select the Asset tab and then add your data file. The data set is then displayed on the Asset tab.
Data sets are considered assets within a project in IBM Watson Studio. When you add a data set to a project, it becomes an asset that can be used and accessed by collaborators within that project.
In IBM Watson Studio, datasets are added as Assets within a project. More specifically:
- A Project is the top-level container in Watson Studio that holds all of the resources, including datasets, needed for building and training models.
- Within a project, datasets and other files are added as Assets. Assets encompass datasets, notebooks, models, and other resources. So a dataset is a specific type of asset.
- The term Resource in Watson Studio refers to compute resources like GPU clusters that can be attached to a project, not to datasets.
- Artifact is not a standard term used in the Watson Studio interface.
So in summary, when adding a dataset to Watson Studio, you create a new project or open an existing one, then add the dataset file as an Asset within that project. The process is often referred to as “adding a dataset asset” or “adding data assets”. Asset is the proper terminology, in contrast with Resource, Project or Artifact.
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