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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?

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Suggested Answer: A

Contribute your Thoughts:

Aracelis
20 days 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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Lawana
26 days 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
27 days 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
1 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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Dorothy
1 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
1 months ago
I agree with Queenie, because temporal grouping and seasonality analysis require both event and metric data.
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Nenita
1 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
22 hours 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
18 days ago
I'm not sure, but I think D is the best choice for temporal grouping and seasonality analysis.
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Gail
28 days ago
Yeah, I think D makes sense because you need all that data for accurate analysis.
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Myra
29 days ago
I agree, D seems like the most comprehensive option.
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Queenie
2 months ago
I think the answer is A) Event and metric data.
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