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Salesforce Exam Revenue Cloud Consultant Accredited Professional Topic 1 Question 22 Discussion

Actual exam question for Salesforce's Revenue Cloud Consultant Accredited Professional exam
Question #: 22
Topic #: 1
[All Revenue Cloud Consultant Accredited Professional Questions]

What three key considerations for legacy data migration will expand the project scope of a Revenue Cloud implementation?

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Suggested Answer: A, B, E

Legacy data migration is a critical aspect of a Revenue Cloud implementation and certain considerations can indeed expand the project scope:

A . Fragmented and incomplete information will need to be aggregated and validated, otherwise the solution will yield unexpected results: Data quality is a key factor in any data migration project.If the legacy data is fragmented or incomplete, additional effort will be required to aggregate and validate the data before it can be migrated to the new system1.

B . Extracting from multiple sources takes additional resources and time to access and process: If the legacy data resides in multiple sources, it can increase the complexity of the data extraction process.This can require additional resources and time, thus expanding the project scope1.

E . Large volumes of data take a longer time to load: The volume of data to be migrated can significantly impact the time required for the data load process.Large volumes of data can take a longer time to load, which can extend the project timeline2.

C . The creation of external objects will bypass the need for legacy data migration: While creating external objects can help integrate external data sources with Salesforce, it doesn't necessarily bypass the need for data migration.The data still needs to be accessible and in a format that Salesforce can understand3.

D .The Amendments and Renewals process will be subject to customizations: While amendments and renewals are important aspects of the CPQ process, they are not directly related to the data migration process3.


by Raul at May 02, 2024, 09:32 PM

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Tarra
8 months ago
And don't forget option E. Large volumes take ages to load. Definitely hard on project timelines.
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Lea
9 months ago
A, B, and E are the way to go, folks. Don't even get me started on the horrors of legacy data migrations. I'd rather face a herd of angry kangaroos than deal with that mess.
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Stefania
8 months ago
E) Large volumes of data take a longer time to load.
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Arthur
8 months ago
B) Extracting from multiple sources takes additional resources and time to access and process
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Allene
8 months ago
A) Fragmented and incomplete information will need to be aggregated and validated, otherwise the solution will yield unexpected results
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Andra
8 months ago
E) Large volumes of data take a longer time to load.
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Janessa
8 months ago
B) Extracting from multiple sources takes additional resources and time to access and process
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An
8 months ago
A) Fragmented and incomplete information will need to be aggregated and validated, otherwise the solution will yield unexpected results
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Jerry
8 months ago
E) Large volumes of data take a longer time to load.
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Kris
9 months ago
B) Extracting from multiple sources takes additional resources and time to access and process
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Makeda
9 months ago
A) Fragmented and incomplete information will need to be aggregated and validated, otherwise the solution will yield unexpected results
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Lonna
9 months ago
Extracting from multiple sources also takes forever, that's option B.
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Graham
9 months ago
E is a no-brainer, of course. I mean, who didn't see that one coming? But A and B are the real kickers here. Gotta love those unexpected results, am I right? *wink wink*
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Renay
8 months ago
E is a no-brainer, of course. I mean, who didn't see that one coming? But A and B are the real kickers here. Gotta love those unexpected results, am I right? *wink wink*
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Marvel
9 months ago
B) Extracting from multiple sources takes additional resources and time to access and process
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Erasmo
9 months ago
A) Fragmented and incomplete information will need to be aggregated and validated, otherwise the solution will yield unexpected results
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Josphine
9 months ago
Absolutely, if the data isn't complete, the results can be really unpredictable.
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Noble
9 months ago
Definitely A and B. Dealing with messy legacy data is always a pain, and getting it all in one place takes a lot of work. Bypassing the migration with external objects? Not a chance, that's just asking for trouble.
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Dorsey
8 months ago
E
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Kimbery
9 months ago
A
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Elenore
9 months ago
B
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Una
9 months ago
A
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Tarra
10 months ago
Fragmented and incomplete information, like option A, really can mess things up.
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Lonna
10 months ago
It is a big aspect of any implementation project. Especially for Revenue Cloud.
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Josphine
10 months ago
Why do they always ask about legacy data migration in these exams?
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