SAP Exam C_IEE2E_2404 Topic 6 Question 4 Discussion

Actual exam question for SAP's C_IEE2E_2404 exam

Question #: 4
Topic #: 6

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.

AStability

BEfficiency

CAccuracy

DTimeliness

Show Suggested Answer

Suggested Answer: A, B

by Brittani at Oct 24, 2024, 04:02 PM

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Ciara

3 months ago

Accuracy and timeliness, for sure. That's like Data Quality 101. The other options are just red herrings.

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Dottie

2 months ago

I think focusing on accuracy and timeliness will set a strong foundation for the project.

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Rodolfo

2 months ago

Definitely, accuracy and timeliness should be the main focus for clean core data quality.

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Rossana

2 months ago

Stability and efficiency are important too, but accuracy and timeliness are key.

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Tijuana

2 months ago

I agree, accuracy and timeliness are crucial for clean core data.

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Shelba

3 months ago

Haha, stability? I'd rather have my data be unstable than inaccurate. What good is a stable system if the data is all wrong?

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Sherly

2 months ago

I think a balance of stability and accuracy is key for maintaining clean core data quality.

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Sherly

3 months ago

Well, stability is important too. Without it, the system could crash and compromise the data.

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Sherly

3 months ago

I see your point, accuracy is definitely crucial for clean core data quality.

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Aleisha

3 months ago

Efficiency? Really? I thought this was about data quality, not IT infrastructure performance.

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Sommer

2 months ago

D) Timeliness

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Leana

2 months ago

Efficiency is important too, it helps with data processing speed.

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Erin

3 months ago

C) Accuracy

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Candida

3 months ago

A) Stability

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Coletta

3 months ago

I agree, having accurate and timely data is crucial for the success of the project.

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Veronica

3 months ago

I think we should focus on accuracy and timeliness.

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Solange

4 months ago

Accuracy and timeliness are definitely key for data quality. Without those, the data is pretty much worthless.

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Royal

3 months ago

C) Accuracy

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Shawna

3 months ago

A) Stability

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