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Oracle 1z0-1110-22 Exam With Confidence Using Practice Dumps

Exam Code:
1z0-1110-22
Exam Name:
Oracle Cloud Infrastructure Data Science 2022 Professional
Vendor:
Questions:
55
Last Updated:
Dec 7, 2024
Exam Status:
Stable
Oracle 1z0-1110-22

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Oracle Cloud Infrastructure Data Science 2022 Professional Questions and Answers

Question 1

You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

Options:

A.

Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment. B. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK

B.

Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.

C.

Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.

D.

Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.

E.

Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application

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Question 2

You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?

Options:

A.

Model Depository

B.

Model Catalog

C.

OCI Vault

D.

Data Science Artifactory

Question 3

You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image data. Which of the following THREE are possible ways to annotate an image in Data Labeling?

Options:

A.

Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.

B.

Adding a single label to an image.

C.

Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling

D.

Adding labels to an image using object detection, by drawing bounding boxes to an im-age.

E.

Adding multiple labels to an image.