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1z0-1110-23 Exam Dumps : Oracle Cloud Infrastructure Data Science 2023 Professional

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Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

Question 1

You have an embarrassingly parallel or distributed batch job on a large amount of data that you

consider running using Data Science Jobs. What would be the best approach to run the workload?

Options:

A.

Create the job in Data Science Jobs and start a job run. When it is done, start a new job run

until you achieve the number of runs required.

B.

Create the job in Data Science Jobs and then start the number of simultaneous jobs runs

required for your workload.

C.

Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel

workloads.

D.

Create a new job for every job run that you have to run in parallel, because the Data Science

Jobs service can have only one job run per job.

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Question 2

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

Question 3

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