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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?

Show Suggested Answer Hide Answer
Suggested Answer: D

Contribute your Thoughts:

Alaine
1 years 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
1 years 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
1 years 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
11 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
12 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
12 months ago
I agree, topic classification and sentiment analysis are definitely the most useful capabilities.
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Erin
12 months ago
C) Sentiment analysis
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Terrilyn
1 years ago
A) Topic classification
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Josefa
1 years 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
1 years ago
I think we can use OCI Language AI for sentiment analysis.
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Donte
1 years 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
1 years 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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Tracey
12 months ago
I agree, sentiment analysis is crucial for understanding the tone and emotions in text data.
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Lanie
12 months ago
A and C are definitely the most useful capabilities for text analysis.
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Matilda
1 years ago
I agree, sentiment analysis is key. Table extraction seems a bit out of scope for this tool.
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Ettie
1 years ago
C) Sentiment analysis
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Catrice
1 years ago
A and C are definitely the way to go. Sentiment analysis is crucial for understanding text.
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Laquanda
1 years ago
A) Topic classification
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