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| Section | Weight | Objectives |
|---|---|---|
| Identity Resolution | 14% | - Conflict resolution - Identity use cases - Unified profile creation - Matching and reconciliation rules |
| Act on Data | 18% | - Activation concepts and use cases - Troubleshooting activations - Process automation and triggering - Attribute usage and management |
| Data Cloud Overview | 18% | - Business value and use cases - Core concepts and terminology - Architecture and ecosystem |
| Data Ingestion and Modeling | 20% | - Transformation and mapping - Data modeling best practices - Ingestion from various sources - Data validation and inspection |
| Segmentation and Insights | 18% | - Insight implementation - Segment membership analysis - Calculated vs streaming insights - Segment creation and configuration |
| Data Cloud Setup and Administration | 12% | - Permissions and access control - Data spaces and configuration - Data streams and data bundles - Monitoring and maintenance tools |
>> Salesforce-Data-Cloud関連日本語内容 <<
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質問 # 99
What is a typical use case for Salesforce Data Cloud?
正解：B
解説：
A typical use case for Salesforce Data Cloud is data harmonization across multiple platforms . Here's why:
Understanding Salesforce Data Cloud
Salesforce Data Cloud is designed to aggregate, unify, and analyze customer data from multiple sources, including CRM, Marketing Cloud, external systems, and third-party platforms.
Its primary purpose is to provide a unified view of customer data for personalized experiences and actionable insights.
Why Data Harmonization Across Multiple Platforms?
Data Harmonization :
Data Cloud harmonizes data by standardizing and cleansing it from disparate sources.
This ensures consistency and accuracy across platforms, enabling organizations to create a single source of truth for customer data.
Use Case Alignment :
Data harmonization is a core functionality of Data Cloud, making it the most relevant use case among the options provided.
Other Options Are Less Relevant :
A). Data synchronization across the Salesforce ecosystem : While Data Cloud integrates with Salesforce products, its primary focus is on unifying data from multiple platforms, not just Salesforce.
B). Storing CRM data on premises : Data Cloud is a cloud-based solution and does not support on-premises storage.
D). Sending personalized emails at scale : This is a use case for Marketing Cloud, not Data Cloud.
Steps to Achieve Data Harmonization
Step 1: Ingest Data
Bring in customer data from multiple sources (e.g., CRM, Marketing Cloud, external systems) into Data Cloud.
Step 2: Standardize and Cleanse Data
Use batch or streaming transformations to standardize formats, remove duplicates, and cleanse data.
Step 3: Create Unified Profiles
Use identity resolution to merge related records into a single unified profile.
Step 4: Activate Insights
Leverage the harmonized data for segmentation, personalization, and analytics.
Conclusion
The most typical use case for Salesforce Data Cloud is data harmonization across multiple platforms , enabling organizations to unify and leverage customer data effectively.
質問 # 100
Which two dependencies need to be removed prior to disconnecting a data source?
正解：A、B
解説：
These are thetwo dependencies that need to be removed prior to disconnecting a data source. A data stream is a process that ingests data from a data source into Data Cloud. A segment is a group of customers that meet certain criteria based on their data. If a data source is disconnected, any data streams or segments that depend on it will no longer function properly. References: [Data Sources], [Data Streams], [Segments]
質問 # 101
A user needs permissions to access Data Cloud to create, manage, and publish segments. However, the user should not be allowed to create reports or manage data sources. Which permission set should an administrator assign?
正解：C
解説：
This permission set should be assigned to a user who needs permissions to access Data Cloud to create, manage, and publish segments, but not to create reports or manage data sources. This permission set allows the user to create and edit segments, calculated insights, streaming insights, and activations, but not to access data streams, data model, identity resolution, or reports. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_permission_sets.htm&type=5
質問 # 102
To which Data Model entity should the Email field from a CRM Contact object be mapped?
正解：C
解説：
The Email field from a CRM Contact object should be mapped to the Contact Point Email entity in the Customer 360data model. This entity represents an email address that is associated with an individual or an account contact. References: [Contact Point Email Entity]
質問 # 103
Which two statements are true about using consent API and exercising right to be forgotten?
正解：A、B
解説：
These two statements are true about using consent API and exercising right to be forgotten. Data deletion requests are reprocessed at regular intervals to ensure that any new data related to the individual is deleted.
Data deletion requests are submitted for individual profiles that represent unique identities in Data Cloud.
References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
質問 # 104
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