Oracle 1Z0-1110-23 Exam Actual Questions

Name: Oracle Cloud Infrastructure Data Science 2023 Professional
Brand: QA4Exam
SKU: 1Z0-1110-23
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The questions for 1Z0-1110-23 were last updated on Oct 3, 2024.

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Question No. 1

You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

ATable extraction

BPunctuation correction

CSentence diagramming

DTopic classification

ESentiment analysis

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Correct Answer: D

Question No. 2

While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?

Asample()

Bsuggeste_recoomendations()

Cauto_transform()

Evisualize_transforms()

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Correct Answer: C

Question No. 3

You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?

AModel type selection

BModel validation

CData access

DFeature engineering

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Correct Answer: B

Question No. 4

You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat

a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

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

BAdding a single label to an image.

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

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

EAdding multiple labels to an image.

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Correct Answer: B, D, E

Question No. 5

As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?

AEnsure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.

BDown your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.

CDeactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.

DCreate a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger compute shape, and capy your flies and data from your temporary bucket onto your new notebook session.

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Correct Answer: A

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