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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. You are working as an application developer using Oracle Machine Learning Notebooks and want to get your project and notebooks reviewed by a subject matter expert (SME). You granted the Developer permission to the SME on the workspace.
Which two actions can be performed by the SME?

A) Create new projects.
B) Create new workspaces.
C) Create jobs for shared notebooks.
D) View, create, run, and update any notebook in the workspace.
E) View and run jobs of shared notebooks.

2. Which statement is FALSE about OML Notebooks?

A) You must have the Administrator role to access the OML User Management Interface.
B) You must have the Administrator role to access the compute resources page.
C) The administrator is not authorized to run notebooks.
D) An existing database user cannot be added as an OML user using the User Manage-ment Interface.

3. When managing models using the Model Repository screen from the OML AutoML UI, what are the four operations a user can do to models and model deployments?

A) Deploy an existing Oracle Machine Learning in-database model as a REST endpoint in OML Services.
B) Undeploy a previously deployed OML in-database model.
C) Change the deployment date of a previously deployed OML in-database model.
D) Change the namespace of a previously deployed OML in-database model.
E) Change the owner of a previously deployed OML in-database model.
F) Delete an existing OML in-database model.

4. You have created an Oracle Machine Learning notebook and want to share it with another collaborator. However, you do not want to provide the ability to run or modify the notebook in your workspace.
Which three options can be used to do this?

A) Export the notebook and import it into the other user's project.
B) Share the notebook as a Shared Oracle Machine Learning Template.
C) Provide the user Developer permission to your workspace.
D) Provide the user Viewer permission to your workspace.

5. When managing Machine Learning models using the OML AutoML UI, what are the three actions that can be performed on Oracle Machine Learning (OML) models from within OML AutoML UI?

A) Deploy an OML in-database model to a REST endpoint.
B) Create a notebook with auto-generated OML4Py code from an OML in-database model to allow for further model tweaking and batch scoring.
C) Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.
D) Review the model statistics associated with the experiment of an OML in-database model.
E) Review the model statistics associated with the experiment of an ONNX-format image classification model.

Solutions: