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SAP C_IEE2E_2404 Exam - Topic 6 Question 16 Discussion

You are a consultant on an SAP S/4HANA Cloud Greenfield project.Which of the following aspects should you focus on to achieve and maintain clean core data quality? Note: There are 2 correct answers to this question.
A) Stability and B) Efficiency
C) Accuracy
D) Timeliness

SAP C_IEE2E_2404 Exam - Topic 6 Question 16 Discussion

Actual exam question for SAP's C_IEE2E_2404 exam
Question #: 16
Topic #: 6
[All C_IEE2E_2404 Questions]

You are a consultant on an SAP S/4HANA Cloud Greenfield project.

Which of the following aspects should you focus on to achieve and maintain clean core data quality? Note: There are 2 correct answers to this question.

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Suggested Answer: A, B

by Wynell at Jun 14, 2025, 07:26 AM

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Billye
8 months ago
Not sure about timeliness being that important.
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Goldie
9 months ago
I think efficiency is key too, though.
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Reid
9 months ago
Definitely accuracy and timeliness!
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Julian
9 months ago
Surprised that stability isn't one of the answers!
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Armanda
9 months ago
Agreed, accuracy is a must for clean data.
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Loise
10 months ago
Efficiency was mentioned in some of our materials, but I can't recall if it directly relates to data quality. I think accuracy is definitely one of the answers though!
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Torie
10 months ago
Stability sounds important, but I’m not convinced it’s one of the top two. I feel like accuracy and timeliness might be more relevant.
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Rochell
10 months ago
I’m not entirely sure, but I think timeliness is also crucial for maintaining clean core data. It was mentioned in a practice question we did last week.
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Berry
10 months ago
I remember we discussed the importance of accuracy in data quality during our study sessions. It seems like a strong candidate for one of the correct answers.
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Ilene
10 months ago
Stability and accuracy - that's my best guess. The system needs to be stable to ensure data quality, and the data itself needs to be accurate. But I'm not 100% certain on this one.
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Maybelle
11 months ago
I'm a bit confused on this one. I know data quality is crucial, but I'm not sure which specific aspects are most important for this type of project. I'll have to review my notes and think it through step-by-step.
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Shad
11 months ago
I've got this! Accuracy and efficiency are definitely the two correct answers here. Maintaining clean data requires both high-quality information and efficient processes to manage it.
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Sheron
11 months ago
Okay, let's see. I'm pretty sure accuracy and timeliness are important for maintaining clean core data quality. But I'm not sure about the other options - I'll have to weigh them carefully.
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Junita
11 months ago
Hmm, this seems like a tricky one. I'll need to think carefully about the key aspects of data quality that are most relevant for an SAP S/4HANA Cloud Greenfield project.
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Ulysses
1 year ago
I'm with Bettina on this one. Accuracy and timeliness are the way to go. Although, a little humor never hurts - how about 'keeping your data clean, like a whistle in a tornado'?
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Layla
1 year ago
Timeliness is crucial, but don't forget about accuracy. You can't have one without the other, or else your data is just a hot mess.
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Dyan
12 months ago
C) Accuracy
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Erinn
1 year ago
A) Stability
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Fidelia
1 year ago
Efficiency? Nah, that's just a nice-to-have. I'd focus on stability and accuracy - keep the core data solid and the rest will follow.
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Lillian
1 year ago
Efficiency is important too, but stability and accuracy should be the main focus.
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Lillian
1 year ago
I agree, stability and accuracy are key for clean core data.
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Tina
1 year ago
Efficiency is also important for clean core data quality, we should not overlook it.
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Bettina
1 year ago
Accuracy and timeliness are definitely key for maintaining clean core data quality. Without those, the whole system falls apart!
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Refugia
1 year ago
Stability and efficiency are also important factors to focus on for maintaining clean core data quality.
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Shakira
1 year ago
C) Accuracy
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Refugia
1 year ago
I agree, accuracy and timeliness are crucial for clean core data quality.
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Helga
1 year ago
A) Stability
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Karima
1 year ago
I agree with Cheryl, accuracy and timeliness are crucial for maintaining data quality.
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Cheryl
1 year ago
I think we should focus on accuracy and timeliness for clean core data quality.
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