Salesforce Salesforce-Data-Cloud exam dumps - Salesforce Data Cloud Accredited Professional Exam

  • Exam Code: Salesforce-Data-Cloud
  • Exam Name: Salesforce Data Cloud Accredited Professional Exam
  • Updated: Aug 17, 2026     Q & A: 171 Questions and Answers

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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Ingestion and Data Modeling- Data model objects and harmonization
- Data sources and ingestion methods
Topic 2: Identity Resolution and Unification- Identity resolution rules
- Unified customer profile concepts
Topic 3: Data Governance and Privacy- Security and data access controls
- Data privacy and compliance concepts
Topic 4: Segmentation and Activation- Segmentation logic and audience building
- Activation to Salesforce and external systems
Topic 5: Salesforce Data Cloud Fundamentals- Core concepts and architecture
- Data Cloud value and use cases

Salesforce Data Cloud Accredited Professional Sample Questions:

1. A user Is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?

A) Value suggestion requires Data Aware Specialist permissions at a minimum.
B) Value suggestion is still processing and takes up to 24 hours to be available.
C) Value suggestion can only work on direct attributes and not related attributes.
D) Value suggestion will only return results for the first 50 values of a specific attribute,


2. A Data Cloud consultant recently discovered that their identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual.
What should the consultant do to address this issue?

A) Create and run a new rules fewer matching rules, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
B) Modify the existing ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
C) Create and run a new ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
D) Modify the existing ruleset with stricter matching criteria, run the ruleset and review the updated results, then adjust as needed until the individuals are matching correctly.


3. Which data stream category type should be assigned in order to use the dataset for date and time-based operations in segmentation and calculated insights?

A) Profile
B) Engagement
C) Sales Order
D) Individual


4. 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) Identity Resolution
B) Harmonization
C) Data Cleansing
D) Data Consolidation


5. A consultant is working in a customer's Data Cloud org and is asked to delete the existing identity resolution ruleset.
Which two impacts should the consultant communicate as a result of this action?
Choose 2 answers

A) Unified customer data associated with this ruleset will be removed.
B) All individual data will be removed.
C) Dependencies on data model objects will be removed.
D) All source profile data will be removed


Solutions:

Question # 1
Answer: B
Question # 2
Answer: C
Question # 3
Answer: B
Question # 4
Answer: A
Question # 5
Answer: A,C

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