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SAP Exam C_C4H630_34 Topic 3 Question 24 Discussion

Actual exam question for SAP's C_C4H630_34 exam
Question #: 24
Topic #: 3
[All C_C4H630_34 Questions]

You are using predictive indicators to configure predictive models and view results. What types of models can you design? Note: There are 3 correct answers to this question.

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Suggested Answer: B, C, E

by Refugia at Oct 19, 2024, 03:09 PM

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Elouise
29 days ago
Hold on, are we sure 'chum' is the right term here? Maybe the exam writers are just trying to 'bait' us. I'm going to play it safe and go with B, D, and E.
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Angelyn
30 days ago
This question is a piece of cake! I'm definitely selecting A, C, and E. Predicting stuff for groups is where it's at. Who needs individual profiles when you can just group people together?
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Glory
1 months ago
Hmm, I'm a bit confused. Isn't 'chum' the stuff you use to attract fish? I think they meant 'churn' probability. Anyway, I'm going with B, D, and E.
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Shasta
4 days ago
User 2: Yeah, 'churn' probability is the correct term. I agree with B, D, and E as well.
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Jody
9 days ago
User 1: I think you're right, 'churn' probability makes more sense. I'll go with B, D, and E too.
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Elenore
1 months ago
I'm pretty sure B and D are also correct. Predicting churn probabilities for profiles and customer lifetime value for profiles are common applications of predictive models.
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Levi
23 days ago
B) Predict chum probabilities for profiles
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Karrie
25 days ago
A) Predict actions for groups
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Hubert
1 months ago
A, C, and E seem to be the correct options here. Predicting actions and events for groups, as well as churn probabilities for groups, are all valid use cases for predictive models.
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Gene
8 days ago
Yes, having the ability to predict actions, events, and churn probabilities for both groups and profiles can provide valuable insights for decision-making.
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Maia
26 days ago
I agree, those options make sense. It's important to be able to predict different outcomes for both groups and profiles.
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Arminda
28 days ago
I think A, C, and E are the correct options. Predicting actions and events for groups, as well as churn probabilities for groups, are all valid use cases for predictive models.
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Lawrence
2 months ago
I believe predicting customer lifetime value for profiles is also possible.
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Cyril
2 months ago
I agree, we can also predict events for groups.
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Ashley
2 months ago
I think we can design models to predict actions for groups.
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