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IBM C1000-143 Exam - 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?

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Suggested Answer: A

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

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Juan
4 months ago
Not sure about D, seems like overkill for just seasonality analysis.
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Glenn
4 months ago
I think it's A, just event and metric data.
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Minna
4 months ago
I agree with D, you need topology for a complete picture.
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Lorrine
4 months ago
Wait, is it really just event data? That seems too simple.
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Louisa
5 months ago
Definitely option D, it covers all bases!
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Bette
5 months ago
I have a vague memory of focusing on event data only, but that seems too limited for seasonality analysis.
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Kenneth
5 months ago
I recall a practice question that mentioned topology data being important, so I'm leaning towards B or D.
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Albina
5 months ago
I'm not entirely sure, but I feel like it could be just event and metric data, so maybe A?
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Carmen
6 months ago
I think it might be option D, since I remember we discussed how multiple data types are needed for comprehensive analysis.
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Wendell
6 months ago
Based on my understanding, Event Manager CNEA likely uses a combination of event, topology, and metric data to perform the temporal grouping and seasonality analysis described in the question. I'll select option D to cover all the bases.
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Caprice
6 months ago
I'm a bit confused by the different data types mentioned. I'll need to review my notes on the capabilities of Event Manager CNEA to determine which data sources it uses for the specified analyses.
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Kanisha
6 months ago
Hmm, I think the answer is Event and metric data, since the question specifically mentions "Event Manager Cloud Native Event Analytics" which sounds like it would use both event and metric data.
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Cassi
6 months ago
This question seems straightforward, but I want to make sure I understand the key terms like "temporal grouping" and "seasonality analysis" before answering.
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Aracelis
11 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
10 months ago
I'm not sure, but I would go with D) Event, topology, and metric data as well.
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Corazon
10 months ago
I believe it's D) Event, topology, and metric data.
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Chaya
10 months ago
I think the answer is A) Event and metric data.
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Lawana
11 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
11 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
11 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
10 months ago
Topology and metric data can provide valuable insights into the context of events.
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Jackie
10 months ago
Yeah, having all three types of data will definitely give a more complete picture.
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Nicolette
10 months ago
Topology and metric data can provide valuable insights into the context of events.
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Vanda
10 months ago
Yeah, having all three types of data will definitely give a more complete picture.
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Blythe
10 months ago
I agree, D seems like the best option for a comprehensive analysis.
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Kattie
10 months ago
I agree, D seems like the best option for a comprehensive analysis.
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Dorothy
12 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
12 months ago
I agree with Queenie, because temporal grouping and seasonality analysis require both event and metric data.
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Nenita
12 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
10 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
11 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
11 months ago
Yeah, I think D makes sense because you need all that data for accurate analysis.
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Myra
11 months ago
I agree, D seems like the most comprehensive option.
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Queenie
1 year ago
I think the answer is A) Event and metric data.
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