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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 Cloud Infrastructure Certification
Vendor:
Oracle
Questions:
80
Last Updated:
Nov 21, 2024
Exam Status:
Stable
Oracle 1z0-1110-23

1z0-1110-23: Oracle Cloud Infrastructure Certification Exam 2024 Study Guide Pdf and Test Engine

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Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

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Question 1

You have created a conda environment in your notebook session. This is the first time you are

working with published conda environments. You have also created an Object Storage bucket with

permission to manage the bucket.

Which two commands are required to publish the conda environment?

Options:

A.

odac conda publish --slug

B.

odsc conda list --override

C.

odsc conda init --bucket_namespace <nameSPACE> --bucket_name

D.

odsc conda create --file manifest.yaml

E.

conda activate /home/datascience/conda/

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Question 2

You have a complex Python code project that could benefit from using Data Science Jobs as it is a

repeatable machine learning model training task. The project contains many subfolders and classes.

What is the best way to run this project as a Job?

Options:

A.

ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies

the_main_ top level where the code is run.

B.

Rewrite your code so that it is a single executable Python or Bash/Shell script file.

C.

ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs

identifies the main executable file automatically.

D.

ZIP the entire code project folder, upload it as a Job artifact on job creation, and set

JOB_RUN_ENTRYPOINT to point to the main executable file.

Question 3

As a data scientist, you are working on a global health data set that has data from more than 50

countries. You want to encode three features such as 'countries', 'race' and 'body organ' as

categories.

Which option would you use to encode the categorical feature?

Options:

A.

OneHotEncoder ()

B.

DataFrameLabelEncoder ()

C.

show_in_notebook ()

D.

auto_transform()

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