Salesforce Salesforce-Data-Cloud test insides dumps : Salesforce Data Cloud Accredited Professional Exam

Salesforce Salesforce-Data-Cloud test insides dumps
  • Exam Code: Salesforce-Data-Cloud
  • Exam Name: Salesforce Data Cloud Accredited Professional Exam
  • Updated: Aug 14, 2026
  • Q & A: 171 Questions and Answers
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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

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

Salesforce Data Cloud Accredited Professional Sample Questions:

1. If a data source does not have a field that can be designated as a primary key, what should the consultant do?

A) Create a composite key by combining two or more source fields through a formula field.
B) Remove duplicates from the data source and then select a primary key.
C) Select a field as a primary key and then add a key qualifier.
D) Use the default primary key recommended by Data Cloud.


2. 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
B) Data Consolidation
C) Harmonization
D) Identity Resolution


3. Which method should a consultant use when performing aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK?

A) Calculated insight
B) Streaming insight
C) Batch transform
D) Formula fields


4. Which data model subject area defines the revenue or quantity for an opportunity by product family?

A) Party
B) Product
C) Engagement
D) Sales Order


5. Which two dependencies prevent a data stream from being deleted?
Choose 2 answers

A) The underlying data lake object is mapped to a data model object.
B) The underlying data lake object is used in a data transform.
C) The underlying data lake object is used in activation.
D) The underlying data lake object is used in segmentation.


Solutions:

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

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