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IBM Exam C1000-143 Topic 4 Question 62 Discussion

Actual exam question for IBM's C1000-143 exam

Question #: 62
Topic #: 4

[All C1000-143 Questions]

What data does Event Manager Cloud Native Event Analytics (CNEA) use to do temporal grouping and seasonality analysis?

AEvent and metric data

BEvent and topology data

CEvent data only

DEvent, topology, and metric data

Show Suggested Answer

Suggested Answer: A

by Brice at Apr 08, 2025, 09:54 PM

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Aracelis

3 months ago

I bet the answer is D. The more data, the merrier! Although, I do wonder if Event Manager CNEA can handle that much information. Maybe it's like trying to use a calculator to do a rocket scientist's job.

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Lonna

2 months ago

I'm not sure, but I would go with D) Event, topology, and metric data as well.

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Corazon

2 months ago

I believe it's D) Event, topology, and metric data.

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Chaya

2 months ago

I think the answer is A) Event and metric data.

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Lawana

3 months ago

D, for sure. If I can't have my event, topology, and metric data, I might as well just throw in the towel. This is like asking a chef to cook without ingredients!

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Mitsue

3 months ago

This is a tough one, but I'll go with A. Event and metric data. Topology is cool and all, but maybe overkill for this analysis.

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Mirta

3 months ago

C seems too limited. I'll go with D. Gotta have that topology and metric data to really understand the event trends.

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Ammie

2 months ago

Topology and metric data can provide valuable insights into the context of events.

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Jackie

2 months ago

Yeah, having all three types of data will definitely give a more complete picture.

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Nicolette

2 months ago

Topology and metric data can provide valuable insights into the context of events.

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Vanda

2 months ago

Yeah, having all three types of data will definitely give a more complete picture.

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Blythe

2 months ago

I agree, D seems like the best option for a comprehensive analysis.

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Kattie

2 months ago

I agree, D seems like the best option for a comprehensive analysis.

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Dorothy

3 months ago

I'm not sure, but I think it might be D) Event, topology, and metric data, as topology data could also be important for analysis.

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Paulene

4 months ago

I agree with Queenie, because temporal grouping and seasonality analysis require both event and metric data.

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Nenita

4 months ago

I think it's D. Event, topology, and metric data. Temporal grouping and seasonality analysis require a comprehensive dataset, not just event data.

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Cammy

2 months ago

I think D is the correct answer too. It just makes sense to have all that data for accurate results.

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Ethan

3 months ago

I'm not sure, but I think D is the best choice for temporal grouping and seasonality analysis.

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Gail

3 months ago

Yeah, I think D makes sense because you need all that data for accurate analysis.

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Myra

3 months ago

I agree, D seems like the most comprehensive option.

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Queenie

4 months ago

I think the answer is A) Event and metric data.

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