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1z0-1110-23 Exam Dumps - Oracle Cloud Infrastructure Certification Questions and Answers

Question # 4

You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science to create a

model and need some additional Python libraries for processing genome sequencing data. Which of

the following THREE statements are correct with respect to installing additional Python libraries to

process the data?

Options:

A.

You can only install libraries using yum and pip as a normal user.

B.

You can install private or custom libraries from your own internal repositories.

C.

OCI Data Science allows root privileges in notebook sessions.

D.

You can install any open source package available on a publicly accessible Python Package

Index (PyPI) repository.

E.

You cannot install a library that's not preinstalled in the provided image

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Question # 5

You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

Options:

A.

Programming Language Software Development Kit (SDK)

B.

Mobile App

C.

Command Line Interface (CLI)

D.

OCI Console

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Question # 6

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 # 7

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 # 8

You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?

Options:

A.

Update the deployment to use fewer instances.

B.

Delete the deployment.

C.

Reduce the load balancer bandwidth limit so that fewer requests come in.

D.

Update the deployment to use a larger virtual machine (mare CPUs/memory).

E.

Update the deployment to add more instances.

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Question # 9

You want to build a multistep machine learning workflow by using the Oracle Cloud

Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment

to run a pipeline step?

Options:

A.

Configure a compute shape.

B.

Configure a block volume.

C.

Use command-line variables.

D.

Use environmental variables

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Question # 10

The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?

Options:

A.

Oracle.automl.visualize_algorith_selection_trails()

B.

Oracle.automl.visualize_adaptive_sampling_trails()

C.

Oracle.automl.print_trials()

D.

Oracle.automl.visualize_tuning_trails()

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Question # 11

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 # 12

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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Question # 13

During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?

Options:

A.

On the job run, set the environment variable that helps increase the size of the storage.

B.

Your code using too much disk space. Refactor the code to identify the problem.

C.

Edit the job, change the size of the storage of your job, and start a new job run.

D.

Create a new job with increased storage size and then run the job.

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Exam Code: 1z0-1110-23
Exam Name: Oracle Cloud Infrastructure Data Science 2023 Professional
Last Update: May 10, 2025
Questions: 80
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