SAP Exam C_SIGDA_2403 Topic 7 Question 29 Discussion

Actual exam question for SAP's C_SIGDA_2403 exam

Question #: 29
Topic #: 7

[All C_SIGDA_2403 Questions]

Why does extracted data typically need to be transformed?Note: There are 2 correct answers to this question.

ATo visualize dependencies between cases

BTo uniform and standardize the extracted data

CTo create a log file that includes all events

DTo ensure all extracted data is correct

Show Suggested Answer

Suggested Answer: B, D

The transformation of extracted data is a critical step in process mining and analysis, primarily to ensure uniformity and accuracy. Uniforming and standardizing the extracted data is necessary to facilitate its analysis across different systems and processes, ensuring consistency in metrics and interpretations. Ensuring the correctness of all extracted data is also crucial to maintain the integrity of the analysis, as any inaccuracies can lead to flawed insights and decisions. Visualizing dependencies between cases and creating a log file with all events, while important, do not directly relate to the reasons why extracted data typically needs to be transformed. Reference: SAP Signavio Process Intelligence Documentation

by Frank at Feb 12, 2025, 09:03 PM

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Val

3 months ago

I'm feeling option A here. Visualizing dependencies is a great reason to transform the data. Gotta see the big picture, you know?

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Margarett

2 months ago

True, both options A and B are crucial for transforming extracted data.

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Jani

2 months ago

I think option B is also important, standardizing the data can make analysis easier.

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Elena

3 months ago

I agree, visualizing dependencies can really help understand the data better.

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Brande

3 months ago

B is the way to go. Uniformity is key when dealing with messy real-world data. Anything less and you're asking for trouble down the line.

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Anika

3 months ago

Hah, option D is a trap! No one can ever ensure 100% accuracy of extracted data. Transforming it is the only way to catch and fix any issues.

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German

3 months ago

Option C is just silly. A log file isn't going to help transform the data, that's not what it's for. This exam is really testing our data transformation knowledge.

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Marylyn

2 months ago

D) To ensure all extracted data is correct

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Matthew

2 months ago

B) To uniform and standardize the extracted data

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Lamonica

3 months ago

A) To visualize dependencies between cases

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Latrice

4 months ago

I'm going with option B as well. Transforming the data is crucial to ensure it's in a usable state for analysis or visualization.

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Reed

3 months ago

Absolutely, it's all about making sure the data is in a usable format.

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Willis

3 months ago

Uniform and standardize the data is essential for reliable results.

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Sheridan

3 months ago

I agree, transforming the data is key for accurate analysis and visualization.

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Rosalind

3 months ago

Option B is definitely the way to go. It helps make the data consistent.

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Gabriele

4 months ago

But isn't transforming the data also important to ensure its accuracy?

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Evangelina

4 months ago

To uniform and standardize the extracted data seems like the obvious choice here. We need to get all the data in a consistent format before we can do anything else with it.

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