Salesforce Exam Data Cloud Consultant Topic 1 Question 33 Discussion

Actual exam question for Salesforce's Data Cloud Consultant exam

Question #: 33
Topic #: 1

A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.

How should a consultant ingest and map this data in Data Cloud?

AUse a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.

BIngest the data into two DLOs and map each to the individual and Contact point Email DMOs.

CIngest the data into two DLOs and then map to two custom DMOs.

DIngest the data into one DLO and then map to one custom DMO.

Show Suggested Answer

Suggested Answer: A

by Joaquin at Jan 27, 2025, 06:10 AM

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Rosalind

2 months ago

Option D? Really? Putting all that data into one DLO and one custom DMO? That's like trying to stuff an elephant into a shoebox.

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Fletcher

2 months ago

B) Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.

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Rodrigo

2 months ago

A) Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.

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Maybelle

2 months ago

B: I agree. Option D does seem like it would cause some issues with data management.

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Cristy

2 months ago

A: Option A seems like the best approach. Consolidating the data into one DLO will make it easier to manage.

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Tawanna

2 months ago

Hmm, this question reminds me of the time I accidentally merged my checking and savings accounts. What a mess that was!

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Nadine

2 months ago

I see your point, Nydia. Maybe option C is worth considering after all.

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Shannan

2 months ago

I'm going with option A. Consolidating the data into one DLO and then mapping it to the existing DMOs sounds like the most efficient approach.

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Cecilia

1 months ago

Consolidating the data into one DLO just makes everything easier to manage.

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Hassie

1 months ago

I think it's important to streamline the data ingestion process for efficiency.

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Tambra

1 months ago

It definitely simplifies the process and keeps everything organized.

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Arthur

2 months ago

I agree, option A seems like the best way to avoid duplicate data.

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Truman

2 months ago

That's a good point, Nydia. Custom DMOs could be beneficial in this scenario.

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Nydia

3 months ago

I see both sides. But I think option C might be the best approach. It allows for more flexibility with custom DMOs.

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Nadine

3 months ago

I disagree. Option B seems more appropriate to me. We should keep the data separate to avoid any confusion.

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France

3 months ago

Option C seems like overkill. Why create two custom DMOs when the individual and Contact Point Email DMOs already exist?

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Iola

1 months ago

Option C seems like overkill. Why create two custom DMOs when the individual and Contact Point Email DMOs already exist?

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Stephaine

1 months ago

C) Ingest the data into two DLOs and then map to two custom DMOs.

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Ettie

2 months ago

B) Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.

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Isaac

2 months ago

A) Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.

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Chery

3 months ago

I think option B is the way to go. Separating the data into two DLOs makes it easier to manage and map to the appropriate DMOs.

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Ronald

2 months ago

Yeah, having two separate DLOs for the different types of customers will definitely simplify the mapping process.

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Alayna

2 months ago

I agree, option B seems like the most efficient way to handle the duplicate data.

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Truman

3 months ago

I think option A makes sense. It consolidates the data and maps it to the necessary DMOs.

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