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Salesforce Exam Data Cloud Consultant Topic 4 Question 13 Discussion

Actual exam question for Salesforce's Data Cloud Consultant exam
Question #: 13
Topic #: 4
[All Data Cloud Consultant Questions]

During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?

Show Suggested Answer Hide Answer
Suggested Answer: B

Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level.Reference:Identity Resolution,Reconciliation Rules,Salesforce Data Cloud Exam Questions


by Ahmed at Apr 29, 2024, 12:15 PM

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Buffy
1 months ago
Identity Resolution is the way to go. Though I have to admit, Data Cleansing sounds more like my superpower - getting that data squeaky clean, one record at a time!
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Cristen
1 months ago
Identity Resolution for sure. If I had a dollar for every time I had to untangle a customer's data mess, I'd be on a beach somewhere sipping margaritas instead of studying for this exam.
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Alyssa
1 days ago
C) Data Consolidation
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Rosalind
2 days ago
C) Data Consolidation
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Nicholle
2 days ago
Identity Resolution is definitely key when dealing with multiple data sources.
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Alyce
3 days ago
D) Identity Resolution
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Jeniffer
4 days ago
C) Data Consolidation
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Celia
8 days ago
B) Data Cleansing
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Queenie
11 days ago
B) Data Cleansing
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Dulce
13 days ago
A) Harmonization
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Marvel
26 days ago
A) Harmonization
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Daniela
2 months ago
Hmm, I was leaning towards Data Consolidation, but Identity Resolution does seem more fitting for this scenario. Gotta love the need to wrangle all that data!
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Lezlie
28 days ago
D) Identity Resolution
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Marion
1 months ago
C) Data Consolidation
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Thad
1 months ago
B) Data Cleansing
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Beckie
1 months ago
A) Harmonization
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Alyce
2 months ago
I believe Data Consolidation is also important for combining data from multiple sources into a single unified profile.
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Genevieve
2 months ago
I agree with Elroy, because Identity Resolution helps match and reconcile data about individuals.
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Elroy
2 months ago
I think the consultant should highlight Identity Resolution.
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Lemuel
2 months ago
I think option D, Identity Resolution, is the correct answer here. It sounds like the best way to match and reconcile data from multiple sources into a single profile.
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Gladis
2 months ago
Data Cleansing, option B, could help in preparing the data before matching and reconciling it into a single profile.
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Felix
2 months ago
Harmonization, option A, might also be important to ensure consistency in the data being matched and reconciled.
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Minna
2 months ago
I think option C, Data Consolidation, could also be a good choice to unify data from different sources.
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Merissa
2 months ago
I agree, option D, Identity Resolution, seems like the most suitable feature for this scenario.
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Ilda
2 months ago
I think Identity Resolution could also be important for creating a unified profile.
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Toshia
3 months ago
I agree with Cassi, Data Consolidation makes sense for matching and reconciling data.
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Cassi
3 months ago
I think the consultant should highlight Data Consolidation.
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