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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which feature of Oracle Machine Learning Notebooks should you use for data analysis, data discovery, data visualization, and collaboration on Oracle Autonomous Database?

A) Project
B) Job
C) Notebook
D) Workspace

2. 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) Provide the user Developer permission to your workspace.
C) Share the notebook as a Shared Oracle Machine Learning Template.
D) Provide the user Viewer permission to your workspace.

3. What is the correct sequence of creating items in Oracle Machine Learning (OML) Notebooks when setting up a new Autonomous Database instance?

A) Notebook, Job, Project, OML User
B) OML User, Notebook, Job
C) Job, Project, Workspace, Notebook
D) Workspace, OML User, Notebook, Jobs

4. You have shared your workspace with other users. You want to allow them to run and update the notebooks. However, you do not want to provide the ability to schedule the jobs to run notebooks.
Which permission should be granted to other users?

A) Developer
B) Viewer
C) Manager
D) Admin

5. What is the proper workflow for analyzing data in Oracle Machine Learning?

A) Get predictions from the model, prepare the data, build the model, and deploy the model
B) Prepare the data, build the model, evaluate the model, and deploy the model.
C) Build the model, prepare the data, evaluate the model, and deploy the model.
D) Evaluate the model, prepare the data, build the model, and deploy the model.

Solutions: