Oracle Exam 1Z0-1110-23 Topic 1 Question 21 Discussion

Actual exam question for Oracle's 1Z0-1110-23 exam

Question #: 21
Topic #: 1

[All 1Z0-1110-23 Questions]

As a data scientist, you are trying to automate a machine learning (ML) workflow and have

decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline.

Which three are part of the AutoML Pipeline?

AFeature Selection

BAdaptive Sampling

CModel Deployment

DFeature Extraction

EAlgorithm Selection

Show Suggested Answer

Suggested Answer: D

by Torie at Jun 02, 2024, 12:24 PM

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Alaine

11 months ago

Haha, I'm picturing the Language AI service trying to diagram sentences. That would be a hilarious blooper reel. But seriously, A and C are the ones you want.

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Lorita

11 months ago

A and C, all the way. Wait, is that a trick question? I mean, who needs table extraction when you've got machine learning-powered sentiment analysis, am I right?

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Donte

11 months ago

Topic classification and sentiment analysis, no brainer. Although, I could go for some punctuation correction - my high school English teacher is probably rolling in her grave.

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Lennie

10 months ago

I'm not sure about table extraction and sentence diagramming, those seem less relevant for my text analysis needs.

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Karima

10 months ago

I think punctuation correction could also come in handy, especially for improving the overall readability of the text.

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Ronny

10 months ago

I agree, topic classification and sentiment analysis are definitely the most useful capabilities.

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Erin

10 months ago

C) Sentiment analysis

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Terrilyn

11 months ago

A) Topic classification

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Josefa

11 months ago

Yes, sentiment analysis is definitely one of the capabilities. I also believe we can do topic classification with it.

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Jeannetta

11 months ago

I think we can use OCI Language AI for sentiment analysis.

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Donte

11 months ago

Definitely A and C. I use the Language AI service all the time, and those are the real powerhouses. Sentence diagramming? What is this, grammar class?

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Alex

11 months ago

A and C, of course! Sentiment analysis is a must-have in any text analysis toolkit. Table extraction? Yeah, that's a bit of a stretch for this service.

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