Salesforce Salesforce-Data-Cloud dumps - in .pdf

Salesforce-Data-Cloud pdf
  • Exam Code: Salesforce-Data-Cloud
  • Exam Name: Salesforce Data Cloud Accredited Professional Exam
  • Updated: Aug 05, 2026
  • Q & A: 171 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: Salesforce-Data-Cloud
  • Exam Name: Salesforce Data Cloud Accredited Professional Exam
  • Updated: Aug 05, 2026
  • Q & A: 171 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Salesforce Salesforce-Data-Cloud dumps - Testing Engine

Salesforce-Data-Cloud Testing Engine
  • Exam Code: Salesforce-Data-Cloud
  • Exam Name: Salesforce Data Cloud Accredited Professional Exam
  • Updated: Aug 05, 2026
  • Q & A: 171 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

About Salesforce Salesforce-Data-Cloud Exam Braindumps

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Salesforce-Data-Cloud exam dumps

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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Cloud Overview18%- Core concepts and terminology
- Business value and use cases
- Architecture and ecosystem
Topic 2: Segmentation and Insights18%- Calculated vs streaming insights
- Insight implementation
- Segment creation and configuration
- Segment membership analysis
Topic 3: Identity Resolution14%- Matching and reconciliation rules
- Unified profile creation
- Conflict resolution
- Identity use cases
Topic 4: Data Cloud Setup and Administration12%- Monitoring and maintenance tools
- Data streams and data bundles
- Data spaces and configuration
- Permissions and access control
Topic 5: Data Ingestion and Modeling20%- Data modeling best practices
- Transformation and mapping
- Ingestion from various sources
- Data validation and inspection
Topic 6: Act on Data18%- Attribute usage and management
- Troubleshooting activations
- Activation concepts and use cases
- Process automation and triggering

Salesforce Data Cloud Accredited Professional Sample Questions:

1. Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request?
Choose 2 answers

A) Use the Consent API to suppress processing and delete the Individual and related records fromsource data streams.
B) Delete the data from the incoming data stream and perform a full refresh.
C) Use Data Explorer to locate and manually remove the Individual.
D) Add the Individual ID to a headerless file and use the delete from file functionality.


2. An organization wants to enable users with the ability to identify and select text attributes from a picklist of options.
Which Data Cloud feature should help with this use case?

A) Global picklists
B) Data harmonization
C) Value suggestion
D) Transformation formulas


3. A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.
Where does a request for data deletion or right to be forgotten get submitted?

A) In Data Cloud settings
B) On the individual data profile in Data Cloud
C) In Marketing Cloud settings
D) through Consent API


4. Northern Trail Outfitters (NTO) wants to send a promotional campaign for customers that have purchased within the past 6 months. The consultant created a segment to meet this requirement.
Now, NTO brings an additional requirement to suppress customers who have made purchases within the last week.
What should the consultant use to remove the recent customers?

A) Related attributes
B) Segmentation exclude rules
C) Batch transforms
D) Streaming insight


5. Cumulus Financial uses Service Cloud as its CRM and stores mobile phone, home phone, and work phone as three separate fields for its customers on the Contact record. The company plans to use Data Cloud and ingest the Contact object via the CRM Connector.
What is the most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation?

A) Ingest the Contact object and then create a calculated insight to normalize the phone numbers,and then map to the Contact Point Phone data map object.
B) Ingest the Contact object and map the Work Phone, Mobile Phone, and Home Phone to theContact Point Phone data map object from the Contact data stream.
C) Ingest the Contact object and create formula fields in the Contact data stream on the phonenumbers, and then map to the Contact Point Phone data map object.
D) Ingest the Contact object and use streaming transforms to normalize the phone numbers fromthe Contact data stream into a separate Phone data lake object (DLO) that contains three rows,and then map this new DLO to the Contact Point Phone data map object.


Solutions:

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

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