Oracle 1z0-1110-23 Practice Exam Dumps 2025

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Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

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Question 1

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

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Question 2

As a data scientist, you create models for cancer prediction based on mammographic images.

The correct identification is very crucial in this case. After evaluating two models, you arrive at the

following confusion matrix.

Model 1 has Test accuracy is 80% and recall is 70%.

• Model 2 has Test accuracy is 75% and recall is 85%.

Which model would you prefer and why?

Options:

A.

Model 2, because recall is high.

B.

Model 1, because the test accuracy is high.

C.

Model 2, because recall has more impact on predictions in this use se.

D.

Model 1, because recall has lesser impact on predictions in this use case

Question 3

You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?

Options:

A.

Package your personal OC file and keys in the job artifact.

B.

Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.

C.

Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal

D.

Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.

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