OMG Exam OMG-OCSMP-MBA400 Topic 3 Question 12 Discussion

Actual exam question for OMG's OMG-OCSMP-MBA400 exam

Question #: 12
Topic #: 3

Choose the correct answer

The lead systems engineer on a project has identified a set of Key Performance Parameters (KPPs) that need to be evaluated both on a periodic basis during development, and during acceptance for every design change. Many of these KPPs are expressed In complex, interrelated differential equations The analysis team has identified appropriate numerical techniques for solving these equations and expressed them in a popular analysis tool.

The lead system modeler and methodologist must ensure that the architecture and design captured in the SysML system model are continuously and accurately reflected In the KPP calculations.

Which strategy is likely to be most successful in accomplishing this?

ATask the analysis learn with recasting each of the KPP equations as constraint blocks and parametric models directly in SysML and linking the resulting parameters to value properties of current system model elements Keeping all information in the same model is the only way to guarantee the consistency the lead engineer has asked for

BList the parameters used to evaluate the KPPs in a spreadsheet file. Use the SysML modeling tool's inherent capability to link appropriate value properties to cells in this spreadsheet Task the analysis team with modifying their analysis routines to accept parameters as an input vector from this spreadsheet. Ensure that the spreadsheet is updated from the system model prior to each update of the KPP calculations

CWork with the analysis team to partition the KPP evaluation model into manageable, reusable subroutines Develop constraint blocks within the SysML model to represent these subroutines, exposing their parameters. Use these new constraint blocks to build a parametric model that ties the KPP evaluation directly to system model element value properties. Leverage available bridging software to link this parametric model to the evaluation subroutines executing in the external analysis tool, and re-evaluate the KPPs on an as-needed basis

DUse activity and/or state models to accurately model the flow of data to numerically solve the KPP evaluation equations Ensure that the analysis team validates these behavior models Bind each relevant value property within the system model to an activity parameter or state variable such that the KPP evaluation model accurately reflects how the KPPs are derived. Next, use code generation capability inherent in the SysML tool to generate and compile the KPP evaluation routines Recompile and run these routines as needed to update KPP estimates

Show Suggested Answer

Suggested Answer: B

by Willis at Jul 03, 2024, 07:35 AM

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Van

1 months ago

Wait, we're supposed to solve differential equations in SysML now? I thought this was a systems engineering exam, not a math competition. Option C is the way to go, no doubt about it.

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Lonna

1 months ago

Haha, I'm just picturing the analysis team trying to solve those differential equations with a spreadsheet. Option C is definitely the way to go, although I do like the idea of using a spreadsheet as a backup plan.

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Delmy

1 months ago

Option D with the code generation capability sounds really interesting, but I'm not sure how well it would scale for complex, interrelated differential equations. C seems like a more versatile and manageable solution.

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Cammy

12 hours ago

C) Work with the analysis team to partition the KPP evaluation model into manageable, reusable subroutines Develop constraint blocks within the SysML model to represent these subroutines, exposing their parameters. Use these new constraint blocks to build a parametric model that ties the KPP evaluation directly to system model element value properties. Leverage available bridging software to link this parametric model to the evaluation subroutines executing in the external analysis tool, and re-evaluate the KPPs on an as-needed basis

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I think option A is the best strategy because it ensures consistency by keeping all information in the same model.

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