SAP Exam E_HANABW_13 Topic 1 Question 76 Discussion

Actual exam question for SAP's E_HANABW_13 exam

Question #: 76
Topic #: 1

[All E_HANABW_13 Questions]

Why are DataStore Objects so important? Choose the correct answer(s).

AThey can overwrite data.

BThey allow for raw uncleansed data to be stored for 3 months.

CThey easily integrate in the data flow.

DThey store detailed data leaving Infocubes to store aggregated data.

Show Suggested Answer

Suggested Answer: A, C, D

by Meaghan at Jan 25, 2024, 12:49 PM

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Skye

11 months ago

DataStore Objects are the unsung heroes of the data world. They may not be as glamorous as Infocubes, but they're the real workhorse of the system.

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Joseph

10 months ago

DataStore Objects are essential for storing detailed data and integrating seamlessly in the data flow.

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Billi

10 months ago

C) They easily integrate in the data flow.

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Shay

10 months ago

A) They can overwrite data.

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Arthur

11 months ago

Option A is just plain wrong. DataStore Objects are designed to preserve data, not overwrite it. Whoever came up with that one must have been having a bad day.

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Britt

11 months ago

I'm going to have to go with option B. Storing raw uncleansed data for 3 months is a crucial feature of DataStore Objects.

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Shawn

10 months ago

I see your point, but I believe option D is crucial for storing detailed data.

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Rasheeda

10 months ago

I think option C is also important for easy integration in the data flow.

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Kenia

10 months ago

I agree, option B is important for storing raw data.

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Cristal

11 months ago

Option C seems like the most relevant answer to me. DataStore Objects integrate easily into the data flow, making them an important part of the overall data architecture.

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Lizbeth

11 months ago

C) They easily integrate in the data flow.

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Lorenza

11 months ago

I agree, DataStore Objects play a crucial role in maintaining the data flow efficiently.

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Salley

12 months ago

I think option D is the correct answer. DataStore Objects allow us to store detailed data, leaving Infocubes to handle the aggregated data. This helps with performance and data management.

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