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Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

Question 1

You are a data scientist designing an air traffic control model, and you choose to leverage Oracle

AutoML You understand that the Oracle AutoML pipeline consists of multiple stages and

automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML

pipeline?

Options:

A.

Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning

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B.

Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning

C.

Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning

D.

Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning

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Question 2

As a data scientist, you are working on a global health data set that has data from more than 50

countries. You want to encode three features such as 'countries', 'race' and 'body organ' as

categories.

Which option would you use to encode the categorical feature?

Options:

A.

OneHotEncoder ()

B.

DataFrameLabelEncoder ()

C.

show_in_notebook ()

D.

auto_transform()

Question 3

While reviewing your data, you discover that your data set has a class imbalance. You are aware

that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation

tools for data set transformation. Which would be the right tool to correct any imbalance between

the classes?

Options:

A.

visualize_transforms ()

B.

auto_transform()

C.

sample ()

D.

suggest_recommendations()