Salesforce Data CloudAccredited Professional Exam (SU24) Questions and Answers
Question 25
How does an administrator increase the consolidation rate for Identity Resolution?
Options:
A.
Change all reconciliation rules to Source Sequence
B.
Add more matching rules to broaden the search for matches
C.
Change the Ignore Empty Value option
D.
Reduce the number of matching rules
Answer:
D
Explanation:
Explanation:
Reducing the number of matching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. If there are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate. References: Identity Resolution Match Rules
Question 26
What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?
Options:
A.
Review consent and privacy management policies
B.
Obtain cross-organizational buy-in
C.
Identify activation targets
D.
Identify data sources
Answer:
B
Explanation:
Explanation:
This is the first thing a business stakeholder should focus on when considering a Data Cloud implementation. Obtaining cross-organizational buy-in involves aligning the goals and expectations of different teams and stakeholders who will use or contribute to Data Cloud. References:
Question 27
What is Data Cloud's primary value to customers?
Options:
A.
A single source of truth for all anonymous data
B.
A platform that can update all connected systems with a golden record in real-time
C.
A platform that provides a unified view of a customer and their related data
D.
A platform that can create personalized campaigns by listening, understanding, and acting on customer behavior
Answer:
C
Explanation:
Explanation:
Data Cloud’s primary value to customers is that it provides a platform that enables customers to create a unified view of a customer and their related data across different channels and systems, using the Customer 360 data model as the foundation. References: [Data Cloud Overview], [Customer 360 Data Model]