Question No 1

What are three key features of Oracle Machine Learning Notebooks? (Choose three.)

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They enable access to in database implementation of machine learning algorithms.

They support integration with Oracle Data Miner - ID

They support SQL, PL/SQL, JavaScript, and PHP scripting languages.

They provide a collaborative notebook interface on Oracle Autonomous Database.

They enable job scheduling of notebooks on a recurring schedule.

Question No 2

What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?

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Question No 3

You have created a workspace in Oracle Machine Learning Notebooks and want to share it with collaborators by granting permissions to access your workspace. You want to enable other users to run and modify your notebooks but do not want to provide the ability to schedule jobs that run your notebooks. Which permission type should be granted to this user?

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Question No 4

Which three types of forms are available in Oracle Machine Learning Notebooks? (Choose three.)

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Question No 5

Which step is not required to be performed by an administrator when adding a new user to Oracle Machine Learning (OML) Notebooks?

Choose the Choices:

Provide the user with Autonomous Database client wallet for remote credentials.

Create an OML username and password for the user in the Oracle Machine Learning User Management interface.

Add the user's name and email ID in the Oracle Machine Learning User Management interface.

Issue grant commands on tables from other schemas to allow access from shared note - books.

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