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Oracle 1z0-1110-23 Exam With Confidence Using Practice Dumps

Exam Code:
1z0-1110-23
Exam Name:
Oracle Cloud Infrastructure Data Science 2023 Professional
Certification:
Oracle Other Certification
Vendor:
Oracle
Questions:
80
Last Updated:
Mar 15, 2025
Exam Status:
Stable
Oracle 1z0-1110-23

1z0-1110-23: Oracle Other Certification Exam 2025 Study Guide Pdf and Test Engine

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Related Oracle Exams

Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

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Question 1

Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from

reference libraries and index websites such as scikit-learn?

Options:

A.

DataLabeling

B.

DatasetBrowser

C.

SecretKeeper

D.

ADSTuner

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Question 2

As a data scientist, you are tasked with creating a model training job that is expected to take

different hyperparameter values on every run. What is the most efficient way to set those

parameters with Oracle Data Science Jobs?

Options:

A.

Create a new job every time you need to run your code and pass the parameters as

environment variables.

B.

Create a new job by setting the required parameters in your code and create a new job for

every code change.

C.

Create your code to expect different parameters either as environment variables or as

command line arguments, which are set on every job run with different values.

D.

Create your code to expect different parameters as command line arguments and create a

new job every time you run the code.

Question 3

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

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