Salesforce Salesforce-Data-Cloud Exam : Salesforce Data Cloud Accredited Professional Exam

Salesforce-Data-Cloud
  • Exam Code: Salesforce-Data-Cloud
  • Exam Name: Salesforce Data Cloud Accredited Professional Exam
  • Updated: Aug 12, 2026
  • Q & A: 171 Questions and Answers

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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

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

Salesforce Data Cloud Accredited Professional Sample Questions:

1. A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?

A) Create custom fields on the standard Individual DMO.
B) Create a custom DMO with only the additional fields and map it to the standard Individual DMO.
C) Duplicate the standard Individual DMO and add the additional fields.
D) Create a custom DMO from scratch that has all fields that are needed.


2. A customer wants to create segments of users based on their Customer Lifetime Value.
However, the source data that will be brought into Data Cloud does not include that key performance indicator (KPI).
Which sequence of steps should the consultant follow to achieve this requirement?

A) Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation
B) Create Calculated Insight > Ingest Data > Map Data to Data Model> Use in Segmentation
C) Create Calculated Insight > Map Data to Data Model> Ingest Data > Use in Segmentation
D) Ingest Data > Create Calculated Insight > Map Data to Data Model > Use in Segmentation


3. A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

A) Set the insights aggregation time window to 1 hour.
B) Set the journey entry schedule to run every hour.
C) Set the activation schedule to hourly.
D) Configure the data to be ingested in hourly batches.


4. Cumulus Financial offers both business and personal loans. Records in the Contact DLO can be useful for both groups since individual customers may have both business and personal loans. However, for legal reasons, the two groups must be kept separate.
How should Cumulus Financial solve this business requirement?

A) Create two identity resolution rules in the same data space.
B) Duplicate the Individual DM0.
C) Duplicate the Contact DLO.
D) Use two data spaces.


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


Solutions:

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

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