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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

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

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

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

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

4. Which is NOT a supervised learning algorithm?

A) Naïve Bayes
B) Support Vector Machines
C) Decision Tree
D) Stepwise Linear Regression
E) Hierarchical K-Means

5. You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past.
Which machine learning technique should you use to achieve this?

A) Regression
B) Attribute Importance
C) Classification
D) Feature Extraction

Solutions: