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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
Certification:
Oracle Other Certification
Vendor:
Oracle
Questions:
55
Last Updated:
Apr 30, 2025
Exam Status:
Stable
Oracle 1z0-1110-22

1z0-1110-22: Oracle Other Certification Exam 2025 Study Guide Pdf and Test Engine

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Oracle Cloud Infrastructure Data Science 2022 Professional Questions and Answers

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Question 1

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.

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Question 2

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 3

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.

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