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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Examine the output:

A) SET SQLFORMAT DELIMITED
B) SET SQLFORMAT FIXED
C) SET SQLFORMAT LOADER
D) SET SQLFORMAT ANSICONSOLE

2. Which step in the AutoML pipeline involves reducing the size of the large data set into a small-er data set that adequately represents the original?

A) Feature Selection
B) Algorithm Selection
C) Model Selection
D) Hyperparameter Tuning
E) Adaptive Sampling

3. In which three use cases are Oracle Machine Learning algorithms suitable?

A) Customer segmentation
B) Speech recognition
C) Graph analytics
D) Anomaly and fraud detection
E) Medical outcome analysis

4. 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) Workspace, OML User, Notebook, Jobs
D) Job, Project, Workspace, Notebook

5. Which four actions would typically be performed during the data preparation step for analyzing data with Oracle Machine Learning?

A) building a machine learning model
B) binning of numeric data
C) performing feature engineering, such as creating derived variables
D) data collection from various sources
E) numeric data normalization
F) missing value replacement

Solutions: