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Free and Premium Oracle 1z0-1110-22 Dumps Questions Answers

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Oracle Cloud Infrastructure Data Science 2022 Professional Questions and Answers

Question 1

When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?

Options:

A.

Define the compute scaling strategy.

B.

Configure the deployment infrastructure.

C.

Define the inference server dependencies.

D.

Execute the inference logic code

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Question 2

You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor data. How does the required False Alarm Probability settings affect an anomaly detection model?

Options:

A.

It changes the sensitivity of the model to detect anomalies.

B.

It is used to disable the reporting of false alarm.

C.

It Adds a score to each signal indicating the probability that it is false alarm.

D.

It determines how many false alarms occur before an error message is generated.

Question 3

You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?

Options:

A.

Data Science Jots does not support automatic fog collection and storing.

B.

On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.

C.

You can implement custom logging in your code by using the Data Science Jobs logging.

D.

Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.

Question 4

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 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

Exam Detail
Vendor: Oracle
Certification: Oracle Other Certification
Exam Code: 1z0-1110-22
Exam Name: Oracle Cloud Infrastructure Data Science 2022 Professional
Last Update: Dec 22, 2024
1z0-1110-22 Question Answers
Page: 1 / 2
Total 55 questions
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