Learn the correct answer to the IBM Artificial Intelligence Fundamentals certification exam question on which service should be provisioned first when starting an AI project.
Table of Contents
Question
Which of the following services did you provision first for your project?
A. AI / Machine Learning
B. Two competing resource names
C. All assets
D. Database storage
Answer
D. Database storage
Explanation
Once you’ve logged in and selected Catalog in the Dashboard, it’s a best practice to create your database storage first, this allows you to set up your AI model without having to stop and provision the storage for your data.
Provisioning database storage is typically the first step in setting up an artificial intelligence or machine learning project. The database serves as the foundation for storing all necessary data, including input datasets, project assets, user information, and results from AI models. Having database storage available ensures that subsequent services—such as AI/ML tools, application platforms, and analytics resources—have reliable access to the data required for processing and analysis.
Key Reasons for Provisioning Database Storage First
- Data Readiness: AI and machine learning models rely on large, structured datasets. A properly configured database facilitates data ingestion, cleaning, and retrieval right from the start of the project.
- Dependency Management: All subsequent components, including AI model training and user-facing applications, depend on the availability and integrity of stored data.
- Scalability and Security: Early database provisioning allows for appropriate setup of access controls, backup strategies, and infrastructure scaling to accommodate future growth.
Why Not the Other Options?
- AI / Machine Learning: These services depend on data being accessible; provisioning them before database storage would render them ineffective.
- Two competing resource names: This is not a standard provisioning step and lacks specific context regarding project requirements.
- All assets: Assets are often generated or accumulated after a data foundation is established. Their management typically follows the creation of a central storage system.
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