Which workspace permissions are available in Oracle Machine Learning?

Prepare for the Asian Development Bank Certification Exam. Enhance your skills with flashcards and multiple-choice questions, each featuring helpful hints and detailed explanations. Get ready to succeed in your exam!

The correct choice highlights the available workspace permissions in Oracle Machine Learning, which include Manager, Developer, and Viewer.

The Manager permission grants the highest level of access, allowing the individual to manage all aspects of the workspace, including setting permissions for other users. The Developer permission enables users to create and modify machine learning models, datasets, and analyses, providing them with the necessary tools to develop and test their projects fully. Viewer permission allows users to view the content within the workspace without the ability to modify it, making it suitable for those who need access to information without altering the project.

Understanding these permission roles is essential for effective collaboration and project management within Oracle Machine Learning, as each role is designed to facilitate a specific level of interaction with the workspace while maintaining security and integrity of the projects.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy