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Oracle 1z0-1096-22 Exam Syllabus Topics:

Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. What are three key features of Oracle Machine Learning Notebooks?

A) They enable job scheduling of notebooks on a recurring schedule.
B) They support integration with Oracle Data Miner-ID
C) They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
D) They provide a collaborative notebook interface on Oracle Autonomous Database.
E) They enable access to in database implementation of machine learning algorithms.

2. Which machine learning algorithm allows the system to identify patterns within data sets on its own?

A) Unsupervised Learning
B) Supervised Learning
C) Semi-supervised Learning
D) Reinforcement Learning

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. Which statement is FALSE about Oracle Machine Learning (OML) Notebooks?

A) Within notebook paragraphs you can switch between data views of tables, pie charts, bar charts, line plots and scatter plots.
B) You can set the output format in SQL paragraphs of a notebook.
C) You can share notebooks with Import/Export operations.
D) When visualizing a 1 million row database data using the built-in Zeppelin visualizers, OML will by default display the results on the entire table.

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

Solutions: