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Oracle Cloud Infrastructure Data Science 2022 Professional Questions and Answers

Question 5

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.

Question 6

You have an embarrassingly parallel or distributed batch job on a large amount of data 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 then start the number of simultaneous job runs required for your workload.

B.

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.

C.

Reconfigure the job run because Data science jobs does not support embarrassingly parallel.

D.

Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.

Question 7

You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your condo environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?

Options:

A.

Service Gateway with private subnet access.

B.

NAT Gateway with public internet access.

C.

FastConnect to an on-premises network.

D.

Primary Virtual Network Interface Card (VNIC).

Question 8

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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Total 55 questions