SAP C_THR96_2505 Exam - Topic 2 Question 11 Discussion

Actual exam question for SAP's C_THR96_2505 exam

Question #: 11
Topic #: 2

The following code is used for EOP headcount and SOP headcount: If((in([%EMP_JOB_INFO_T.EMPLOYMENT_STATUS%], 'A','U','P') OR ISNULL([%EMP_JOB_INFO_T.EMPLOYMENT_STATUS%])), [%#CFT#.HEAD_COUNT%], 0). Which setting results in each measure produce different results?

AMeasure override name

BStandard measure

CData type

DAggregation type

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Suggested Answer: A

by Elizabeth at Nov 21, 2025, 10:48 AM

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Georgeanna

8 months ago

I'm not entirely sure, but I remember something about measure overrides affecting how data is calculated. Could it be A)?

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Stephane

8 months ago

I think the answer might be D) Aggregation type, since different aggregation methods could definitely lead to different headcount results.

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Thaddeus

9 months ago

I feel pretty confident about this one. The key is to understand how the different settings can affect the way the headcount is calculated, especially the logic around the employment status. I'd focus on the data type and aggregation type as the most likely causes for the discrepancy.

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Oliva

9 months ago

This seems like a tricky one. I'd want to test out the different settings and see how they impact the headcount calculation. My guess is that the data type or aggregation type would be the most likely culprits for causing the EOP and SOP headcounts to differ.

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Yen

9 months ago

Okay, let me think this through. The code is checking the employment status and only counting employees with status 'A', 'U', or 'P', or with a null status. So the data type and aggregation type could affect how that condition is evaluated and the final headcount. I'd probably start by looking at those settings.

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Stephanie

10 months ago

Surprised that people think it's anything but D!

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Cordie

10 months ago

I'm a bit confused by the question. It seems like we need to figure out which setting would cause the EOP and SOP headcounts to produce different results. I'm not sure where to start with this one.

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Lindsay

10 months ago

I think the key here is to understand how the different settings affect the calculation of the headcount. The measure override name, standard measure, data type, and aggregation type could all potentially impact the results.

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