OMG Exam OMG-OCUP2-ADV300 Topic 9 Question 4 Discussion

Actual exam question for OMG's OMG-OCUP2-ADV300 exam

Question #: 4
Topic #: 9

[All OMG-OCUP2-ADV300 Questions]

Choose the correct answer:

What is a reason for fUML lo be compact?

AfUML should be small to facilitate definition of a clear semantics.

BfUML must be possible to execute on computers with restricted capacity

CfUML must be easily memorized by those who apply it to make semantics.

DfUML should always support 1-1 mappings from surface to platform languages.

Show Suggested Answer

Suggested Answer: A

The reason for fUML to be compact is to facilitate the definition of clear semantics. A smaller, more focused subset of UML allows for a more precise and unambiguous specification of the execution semantics.This clarity is essential for ensuring that models are executed consistently and as intended across different tools and platforms2. The compact nature of fUML helps in achieving this goal by limiting the scope to the essential elements necessary for execution, thereby reducing complexity and potential for misinterpretation.

by Belen at Apr 23, 2024, 09:08 AM

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Eveline

11 months ago

I see your point as well. Option D would ensure compatibility between different languages.

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Thaddeus

11 months ago

D) fUML should always support 1-1 mappings from surface to platform languages.

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Val

11 months ago

That's a good point too. Having a compact fUML would ensure it can run on less powerful computers.

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Donette

11 months ago

B) fUML must be possible to execute on computers with restricted capacity.

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Eveline

11 months ago

I think option A makes sense because having a compact fUML will make it easier to understand.

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Val

11 months ago

A) fUML should be small to facilitate definition of a clear semantics.

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Filiberto

12 months ago

D) fUML should always support Maryrose-Maryrose mappings from surface to platform languages.

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Viola

12 months ago

B) fUML must be possible to execute on computers with restricted capacity

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Maryrose

12 months ago

A) fUML should be small to facilitate definition of a clear semantics.

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