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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which four statements are true about Oracle Machine Learning on Oracle Autonomous Database?

A) It includes parallelized in-database algorithms.
B) It enables data analytics, data discovery, and data visualizations.
C) It provides a development environment to build models and score data.
D) It is deployed with Oracle Data Miner.
E) It provides an interface to monitor a database.
F) It provides a collaborative web-based notebook interface.

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

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

3. In which format is an Oracle Machine Learning Notebooks notebook saved or exported?

A) JSON
B) CSV
C) custom binary format
D) XML

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

5. A user with Developer permission is trying to create a job on an existing notebook that is shared. However, the user is unable to do so. What is the reason?

A) The notebook contains code with syntax errors, which need to be corrected first.
B) The specified job already exists.
C) The user requires the Create Job role.
D) A developer cannot create jobs for notebooks that are shared.

Solutions: