Salesforce Exam Salesforce-Communications-Cloud Topic 1 Question 7 Discussion

Actual exam question for Salesforce's Salesforce Communications Cloud Accredited Professional (AP) Exam exam

Question #: 7
Topic #: 1

[All Salesforce Communications Cloud Accredited Professional (AP) Exam Questions]

A company is selling voice products to business customers. The offer allows customers to select devices of various models. The product modeler intends to create a phone add-on product specification with voice offers with a cardinality that allows up to 700. Which of the three statement are valid regarding the product model in this scenario?

ASince the product model uses OOTB feature of EPC, MACD operations and decomposition are guaranteed to work well

BModeling children with large cardinalities can result in processing inefficiencies for MACD operations.

CProduct Model use hierarchical modeling which is natively supports EPC

DProduct model uses OOTB features from EPC. Decomposition may fail when the maximum number of products is processed.

EThis type of modeling is not supported in EPC and modular should follow a flat modelling technique.

Show Suggested Answer

Suggested Answer: B, C, D

by Laurel at Mar 07, 2024, 03:46 PM

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Madalyn

3 months ago

I would go with E. It makes sense that this type of modeling is not supported in EPC.

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Gerry

3 months ago

I am torn between C and D. Hierarchical modeling seems logical, but decomposition failure worries me.

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Rusty

3 months ago

I disagree, I believe the correct answer is B. Processing inefficiencies can occur with large cardinalities.

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Margarita

3 months ago

I think the answer is A, because using OOTB features should guarantee smooth operations.

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Zona

3 months ago

Option C seems a bit too good to be true. Hierarchical modeling is great and all, but I'm not sure it 'natively supports' EPC in this scenario. Better play it safe with option B.

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Nathan

3 months ago

Yeah, I think option B is the way to go. It's better to avoid any potential processing inefficiencies.

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Hildred

3 months ago

I agree, option C does sound a bit too optimistic. Option B seems like a safer choice.

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Verda

4 months ago

Ha! Looks like the developers forgot to account for the 'Curse of the 700 Products'. Option E is clearly the way to go - flat modeling is the only way to avoid this kind of mess.

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Mammie

3 months ago

I agree, hierarchical modeling with large cardinalities can lead to problems. Option E seems like the most practical solution in this scenario.

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Alana

3 months ago

Option E is definitely the way to go. Flat modeling is the best choice to avoid any issues with processing inefficiencies.

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Corrie

4 months ago

I personally think option D is the most relevant, as decomposition may fail with a high number of products.

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Martina

4 months ago

I disagree, I believe option A is correct as the OOTB feature of EPC ensures smooth MACD operations.

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Queenie

4 months ago

I'm gonna have to go with option D on this one. The product model may use OOTB features from EPC, but I wouldn't be surprised if the decomposition fails when processing the maximum number of products.

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Deeanna

3 months ago

Let's keep an eye on how the product model handles the maximum number of products.

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Iola

3 months ago

Hierarchical modeling might be the way to go to avoid processing issues.

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Jestine

3 months ago

We need to ensure our product model is efficient and doesn't encounter any failures.

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Earlean

3 months ago

Definitely, processing inefficiencies can be a real issue with large cardinalities.

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Brandon

3 months ago

I think we should be cautious with large cardinalities in our product model.

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Boris

3 months ago

Agreed, using OOTB features doesn't guarantee success with decomposition.

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Pansy

3 months ago

Option D seems like the most reasonable choice here.

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Jerlene

4 months ago

Option B seems like the most reasonable choice here. Modeling children with large cardinalities can definitely lead to processing inefficiencies, especially for MACD operations.

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Angella

4 months ago

I think option B is valid because having a large cardinality can slow down processing.

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