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Question 59 - Certified Data Cloud Consultant discussion

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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?

A.
Data Cleansing
Answers
A.
Data Cleansing
B.
Harmonization
Answers
B.
Harmonization
C.
Data Consolidation
Answers
C.
Data Consolidation
D.
Identity Resolution
Answers
D.
Identity Resolution
Suggested answer: D

Explanation:

Identity resolution is the feature that allows Data Cloud to match and reconcile data about individuals from multiple data sources into a single unified profile. Identity resolution uses rulesets to define how source profiles are matched and consolidated based on common attributes, such as name, email, phone, or party identifier.Identity resolution enables Data Cloud to create a 360-degree view of each customer across different data sources and systems12. The other options are not the best features to highlight for this customer need because:

A . Data cleansing is the process of detecting and correcting errors or inconsistencies in data, such as duplicates, missing values, or invalid formats.Data cleansing can improve the quality and accuracy of data, but it does not match or reconcile data across different data sources3.

B . Harmonization is the process of standardizing and transforming data from different sources into a common format and structure.Harmonization can enable data integration and interoperability, but it does not match or reconcile data across different data sources4.

C . Data consolidation is the process of combining data from different sources into a single data set or system.Data consolidation can reduce data redundancy and complexity, but it does not match or reconcile data across different data sources5. Reference

asked 23/09/2024
Jose Ortuondo Arambalza
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