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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. You want to segment your customer data for groups to build supervised models.
What should you use to achieve this?

A) Clustering
B) Feature Extraction
C) Regression
D) Classification

2. 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.

3. Which three statements are true about Oracle Machine Learning Notebooks?

A) It is used for data preparation and exploration.
B) It is used to create low-code applications.
C) It provides a web-based interface for data analysis.
D) It is used to access machine learning algorithms.
E) It is used to manage and monitor database objects.

4. Which two statements are true about Classification algorithms?

A) They extract rules using unsupervised learning.
B) They require known outcomes to guide the learning process.
C) They assign cases to target categories.
D) They predict numeric values along a continuum.

5. Which category of machine learning algorithms does One-Class SVM fall under?

A) Clustering
B) Regression
C) Classification
D) Anomaly Detection

Solutions: