Salesforce-Data-Cloud시험대비공부하기, Salesforce-Data-Cloud인기자격증

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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

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

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최신 Accredited Professional Salesforce-Data-Cloud 무료샘플문제 (Q150-Q155):

질문 # 150
Which two statements about Data Cloud's Web and Mobile App connector are true?

정답:A,D

설명:
The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5


질문 # 151
What is the primary purpose of Data Cloud?

정답:D

설명:
Primary Purpose of Data Cloud:
Salesforce Data Cloud's main function is to integrate and unify customer data from various sources, creating a single, comprehensive view of each customer.
Reference: Salesforce Data Cloud Overview
Benefits of Data Integration and Unification:
Golden Record: Providing a unified, accurate view of the customer.
Enhanced Analysis: Enabling better insights and analytics through comprehensive data.
Improved Customer Engagement: Facilitating personalized and consistent customer experiences across channels.
Reference: Salesforce Data Cloud Benefits Documentation
Steps for Data Integration:
Ingest data from multiple sources (CRM, marketing, service platforms).
Use data harmonization and reconciliation processes to unify data into a single profile.
Reference: Salesforce Data Integration and Unification Guide
Practical Application:
Example: A retail company integrates customer data from online purchases, in-store transactions, and customer service interactions to create a unified customer profile.
This unified data enables personalized marketing campaigns and improved customer service.
Reference: Salesforce Unified Customer Profile Case Studies


질문 # 152
Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

정답:D

설명:
Data Cloud requires a Contact Point for Marketing Cloud activations, which is a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid. If the individual does not have a related Contact Point, they will not be activated in Marketing Cloud. This may result in a lower activated count than the segment count. References: Data Cloud Activation, Contact Point for Marketing Cloud


질문 # 153
Which of the followingcannotbe used in Segmentation? (Choose 2)

정답:B,C

설명:
Explanation
Text Measures and Date Time Measures cannot be used in Segmentation. Segmentation is the process of creating filtered audience segments based on calculated insights. Calculated insights are metrics that define and calculate multidimensional measures on your data. Only Numeric Measures can be used as calculated insights, because they can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. Text Measures and Date Time Measures are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures and Dimensions


질문 # 154
Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?

정답:B


질문 # 155
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