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Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

Question 1

You want to evaluate the relationship between feature values and target variables. You have a

large number of observations having a near uniform distribution and the features are highly

correlated.

Which model explanation technique should you choose?

Options:

A.

Feature Permutation Importance Explanations

B.

Local Interpretable Model-Agnostic Explanations

C.

Feature Dependence Explanations

D.

Accumulated Local Effects

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Question 2

The Accelerated Data Science (ADS) model evaluation classes support different types of machine

learning modeling techniques. Which three types of modeling techniques are supported by ADS

Evaluators?

Options:

A.

Principal Component Analysis

B.

Multiclass Classification

C.

K-means Clustering

D.

Recurrent Neural Network

E.

Binary Classification

F.

Regression Analysis

Question 3

data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom

models. Which types of custom models can be trained?

Options:

A.

Image classification, Named Entity Recognition (NER)

B.

Text classification, Named Entity Recognition (NER)

C.

Sentiment Analysis, Named Entity Recognition (NER)

D.

Object detection, Text classification