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Salesforce Exam Data Cloud Consultant Topic 1 Question 33 Discussion

Actual exam question for Salesforce's Data Cloud Consultant exam
Question #: 33
Topic #: 1
[All Data Cloud Consultant Questions]

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?

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Suggested Answer: A

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

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Rosalind
3 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
3 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
3 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
3 months ago
B: I agree. Option D does seem like it would cause some issues with data management.
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Cristy
3 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
4 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
4 months ago
I see your point, Nydia. Maybe option C is worth considering after all.
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Shannan
4 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
3 months ago
Consolidating the data into one DLO just makes everything easier to manage.
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Hassie
3 months ago
I think it's important to streamline the data ingestion process for efficiency.
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Tambra
3 months ago
It definitely simplifies the process and keeps everything organized.
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Arthur
3 months ago
I agree, option A seems like the best way to avoid duplicate data.
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Truman
4 months ago
That's a good point, Nydia. Custom DMOs could be beneficial in this scenario.
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Nydia
4 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
4 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
4 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
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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Stephaine
3 months ago
C) Ingest the data into two DLOs and then map to two custom DMOs.
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Ettie
3 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
4 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
4 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
4 months ago
Yeah, having two separate DLOs for the different types of customers will definitely simplify the mapping process.
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Alayna
4 months ago
I agree, option B seems like the most efficient way to handle the duplicate data.
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Truman
5 months ago
I think option A makes sense. It consolidates the data and maps it to the necessary DMOs.
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