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

2. You have developed a notebook in an Autonomous Database (ADB) and you need to share the notebook with your colleague to run on a different ADB instance.
How should you enable your colleague to work with this notebook?

A) Export the notebook in . json format and have your colleague import this notebook.
B) Save the notebook in .csv format and have your colleague import this notebook.
C) Save the notebook as a shared template.
D) Make the notebook public.

3. Which three data sources can be immediately used for model building in Oracle Machine Learning?

A) Oracle Database tables
B) Oracle Database views
C) Oracle Database External tables
D) CSV files
E) JSON files

4. Which two templates are supported while saving a notebook?

A) Shared
B) Public
C) Personal
D) Example

5. You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others.
Which three algorithms can you use to produce such a model with Oracle Machine Learning?

A) Explicit Semantic Analysis
B) Neural Networks (Regression)
C) One-Class Support Vector Machine
D) Generalized Linear Model (Classification)
E) Support Vector Machine (Regression)
F) Generalized Linear Model (Regression)

Solutions: