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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 three are supervised machine learning algorithms?

A) Support Vector Machines
B) Association rule
C) Random Forest
D) Linear Regression
E) K-means clustering

3. Which two statements are true about supervised machine learning?

A) It generally results in predictive models.
B) The learning process is directed by a previously known dependent attribute or target.
C) It is used to extract meaningful insights from raw data to improve data operational efficiency.
D) There is no previously known result to guide the algorithm in building the model.
E) It does not specify a target, it can be applied to a population of interest.

4. Which three are unsupervised machine learning algorithms?

A) Association rule
B) Logistical Regression
C) Random Forest
D) Principal Component Analysis
E) Naive Bayes
F) K-means clustering

5. Which is a FALSE statement regarding Oracle Machine Learning (OML)?

A) OML provides univariate and multivariate statistics.
B) OML offerings need a separate data visualization tool for creating visualization.
C) OML provides scalable statistical functions though OML4Py and OML4R.
D) OML provides integration with open source Python and R statistical analysis functions.

Solutions: