Who can have read access to notebooks in Oracle Machine Learning?

In Oracle Machine Learning, the concept of notebook access is structured such that various types of templates can indeed be shared and accessed by different users. When considering the options presented:

Shared templates allow multiple users to access and collaborate on the same notebooks. This functionality is crucial for facilitating teamwork and ensuring that all members involved in a project can view the work being done.

Example templates are typically provided as predefined notebooks that users can examine to understand best practices or to use as a starting point for their analyses. They serve as valuable learning tools and can be accessed for educational purposes.

Personal templates are created by individual users for their own use or can be shared with others. However, they can also be opened for read access by designated users if the owner allows it.

Given this understanding, all of the mentioned types of templates can be accessed based on user permissions and sharing settings. Therefore, it is accurate to assert that every category listed has a provision for read access in Oracle Machine Learning, leading to the conclusion that the correct answer encompasses all the listed options.