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SAP C_THR89_2505 Exam - Topic 5 Question 2 Discussion

Ethnic origin data is a US centric dimension and NOT captured for all countries around the world. Your customer is a global company and needs you to recommend how to address this in the system. What do you recommend as the standard approach?Please choose the correct answer.
D) Use a combination of logic and code mapping to display null values as NOT Reported
A) Use a combination of logic and code mapping to display null values as Unallocated
B) Logic is not required, null values are automatically reported as Unallocated
C) Create a Level 1 node that groups data into two categories US and non-US

SAP C_THR89_2505 Exam - Topic 5 Question 2 Discussion

Actual exam question for SAP's C_THR89_2505 exam
Question #: 2
Topic #: 5
[All C_THR89_2505 Questions]

Ethnic origin data is a US centric dimension and NOT captured for all countries around the world. Your customer is a global company and needs you to recommend how to address this in the system. What do you recommend as the standard approach?

Please choose the correct answer.

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Suggested Answer: D

by Patrick at Jul 30, 2025, 01:17 AM

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Claribel
6 months ago
D seems like a better choice than A.
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Teddy
7 months ago
B is misleading; logic is definitely needed here.
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Brande
7 months ago
Wait, are we really just ignoring null values?
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Paul
7 months ago
I think option C makes the most sense!
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Andrew
8 months ago
Ethnic origin data isn't universal, true.
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Dick
8 months ago
I thought we learned that displaying nulls as NOT Reported could be more accurate for global data. Could that be option D?
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Sage
8 months ago
I'm not entirely sure, but I think using code mapping to handle nulls is a common approach. Maybe option A is the right one?
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Lashawnda
8 months ago
I feel like we practiced a question similar to this, and I think creating a Level 1 node could help categorize the data better.
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Lou
9 months ago
I remember discussing how null values can be tricky, but I think they might automatically show as Unallocated without needing extra logic.
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Carmela
9 months ago
Tricky question, but I think option D is the way to go. Using a combination of logic and code mapping to display null values as "NOT Reported" seems like the most flexible and appropriate solution.
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Francesco
9 months ago
This is a good test of our understanding of handling global data requirements. I'm confident I can work through this and come up with a solid recommendation.
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Tamra
9 months ago
Okay, I think I've got a strategy here. I'll need to use a combination of logic and code mapping to display the null values in a way that makes sense for a global company.
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Loren
9 months ago
Hmm, I'm a bit confused on this one. I'll need to review the options closely and see which one best addresses the global requirement while handling the null values appropriately.
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Thaddeus
10 months ago
This is a tricky one. I'll need to think carefully about the best way to handle the global nature of the data and the US-centric ethnic origin dimension.
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Margurite
10 months ago
I agree with Oretha, option D makes more sense.
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Oretha
10 months ago
I disagree, option D seems more appropriate.
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Mari
10 months ago
Unallocated? Not Reported? What is this, a game of euphemisms? C is the only logical choice here.
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Truman
10 months ago
Haha, I bet the exam writer thought they were being clever with those answer choices. But C is clearly the way to go - no need to get fancy with the data.
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Crissy
6 months ago
Simple and effective, I like it!
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Tyisha
7 months ago
C is the best option for clarity.
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Tandra
7 months ago
I agree, C seems straightforward.
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Ahmed
8 months ago
Definitely! No need to complicate things.
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Fletcher
11 months ago
I think we should go with option C.
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Twanna
11 months ago
D looks tempting, but using 'NOT Reported' doesn't really convey the intended meaning for global data. C is the way to go.
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Justine
11 months ago
I agree with Jerlene. Creating a Level 1 node to categorize the data is a clean and straightforward way to address this challenge.
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Jerlene
11 months ago
Option C seems like the best approach to handle the global customer requirement. Grouping data into US and non-US categories is a practical solution.
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Eladia
10 months ago
I agree, it simplifies things for a global company. Plus, it's a clear distinction.
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Olive
11 months ago
I think option C is the way to go. It makes sense to group the data into US and non-US categories.
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