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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

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

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users.
What should the consultant do to accomplish this?

Answer: C

Explanation:
Data spaces are a feature that allows Data Cloud users to create subsets of data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the consultant can use the data spaces feature and apply filtering on the Account data lake object based on Country. This way, the Data Cloud users can access only the Account data that belongs to their respective countries. References: Data Spaces, Create a Data Space


NEW QUESTION # 54
Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should this use case be addressed in Data Cloud?

Answer: C

Explanation:
This feature can help Northern Trail Outfitters calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm&type=5


NEW QUESTION # 55
How many days of historical data is loaded when B2C Commerce Data Stream is created from the Order Bundle?

Answer: C

Explanation:
When B2C Commerce Data Stream is created from the Order Bundle, 30 days of historical data is loaded. The Order Bundle is a preconfigured data bundle that contains order-related data from B2C Commerce Cloud. Data Stream is a feature that allows you to stream data from B2C Commerce Cloud to Data Cloud in near real time. Reference: B2C Commerce Data Stream


NEW QUESTION # 56
What is Data Cloud's primary value to customers?

Answer: B

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. Reference: [Data Cloud Overview], [Customer 360 Data Model]


NEW QUESTION # 57
What are the two distinct phases of data model management in Data Cloud?

Answer: B,C

Explanation:
Explanation
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5


NEW QUESTION # 58
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