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IBM C1000-116 Exam - Topic 1 Question 3 Discussion

Actual exam question for IBM's C1000-116 exam
Question #: 3
Topic #: 1
[All C1000-116 Questions]

What can be used to extract entities, keywords, and relations features from documents?

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Suggested Answer: B

by Vincenza at Jul 04, 2023, 12:32 AM

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Larue
3 months ago
Not sure about Watson Explorer being the best option here.
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Lavera
3 months ago
Totally agree, NLU is super effective for this!
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Shayne
4 months ago
Wait, can Knowledge Catalog really extract features?
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Santos
4 months ago
I think Watson Studio can do that too.
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Dalene
4 months ago
Natural Language Understanding is the way to go!
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Starr
4 months ago
Watson Explorer sounds familiar, but I can't recall if it specifically handles entity extraction.
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Ryan
4 months ago
I feel like Knowledge Catalog might be more about organizing data rather than extracting features.
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Elizabeth
5 months ago
I'm not entirely sure, but I remember something about Watson Studio being used for data analysis.
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Cherrie
5 months ago
I think Natural Language Understanding is the right choice since it focuses on extracting meaning from text.
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Elmer
5 months ago
Okay, let's see. If the formula was adjusted, that would likely trigger a recalculation of all active forecasts, not just a regeneration. I'm pretty confident that's the right answer.
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Chauncey
5 months ago
Hmm, I'm a bit unsure about this one. I'll need to think it through carefully. The key seems to be understanding where the agent collects the premiums and how they handle the commissions.
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Merilyn
5 months ago
Hmm, I'm a bit confused by the wording of the second requirement. I'll need to re-read that part a few times to make sure I understand it.
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Maryanne
5 months ago
I'm not entirely sure about this one. The options seem a bit similar, and I want to make sure I'm not missing any nuances in the wording. I'll double-check the details and try to eliminate the options that don't seem quite right.
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