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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

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

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

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

3. 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) Classification
D) Regression

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

5. Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?

A) Zeppelin Notebook
B) Google Colab
C) Polynote
D) Jupyter Notebook

Solutions: