Salesforce-Data-Cloud日本語版参考資料、Salesforce-Data-Cloud日本語版対策ガイド

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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Ingestion and Modeling	20%	- Ingestion from various sources - Data modeling best practices - Data validation and inspection - Transformation and mapping
Topic 2: Data Cloud Overview	18%	- Core concepts and terminology - Business value and use cases - Architecture and ecosystem
Topic 3: Data Cloud Setup and Administration	12%	- Permissions and access control - Data streams and data bundles - Monitoring and maintenance tools - Data spaces and configuration
Topic 4: Segmentation and Insights	18%	- Insight implementation - Segment creation and configuration - Segment membership analysis - Calculated vs streaming insights
Topic 5: Identity Resolution	14%	- Unified profile creation - Identity use cases - Conflict resolution - Matching and reconciliation rules
Topic 6: Act on Data	18%	- Activation concepts and use cases - Troubleshooting activations - Process automation and triggering - Attribute usage and management

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Salesforce Data Cloud Accredited Professional Exam 認定 Salesforce-Data-Cloud 試験問題 (Q116-Q121):

質問 # 116
Which three Data Model objects do Reconciliation Rules operate across?

A. Contact
B. Individual
C. Party Identification
D. Lead
E. Contact Point Email

正解：B、C、E

解説：
These are the three Data Model objectsthat Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address.
References: Identity Resolution Reconciliation Rules

質問 # 117
A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.
Where does a request for data deletion or right to be forgotten get submitted?

A. through Consent API
B. In Data Cloud settings
C. On the individual data profile in Data Cloud
D. In Marketing Cloud settings

正解：A

質問 # 118
Which configuration can support separate Amazon S3 buckets for data ingestion and activation?

A. Dedicated S3 data sources inactivation setup
B. Separate user credentials for data stream and activation
C. Dedicated S3 data sources in Data Cloud setup
D. Separate user credentials for data stream and activation target

正解：C

質問 # 119
Which two common use cases can be addressed with Data Cloud?

A. Understand and act upon customer data to drive more relevant experiences
B. Harmonize data from multiple sources with a standardized and extendable data model
C. Safeguard critical business data by serving as a centralized system for backup and disaster recovery
D. Govern enterprise data lifecycle through a centralized set of policies and processes

正解：A、B

解説：
Data Cloud can address these two common use cases by providing a platform that allows customers to ingest, map, enrich, and activate data from various sources using the Customer 360 data model, and by enabling customers to create segments, insights, and activations based on their customer data. Reference: [Data Cloud Overview], [Customer 360 Data Model], [Data Activation]

質問 # 120
Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud.
While setting up the connector, which type of refresh should NTO expect when the data stream is deployed for the first time?

A. Manual refresh
B. Partial refresh
C. Full refresh
D. Incremental

正解：C

解説：
Data Stream Deployment: When setting up a data stream in Salesforce Data Cloud, the initial deployment requires a comprehensive data load.
Types of Refreshes:
Incremental Refresh: Only updates with new or changed data since the last refresh.
Manual Refresh: Requires a user to manually initiate the data load.
Partial Refresh: Only a subset of the data is refreshed.
Full Refresh: Loads the entire dataset into the system.
First-Time Deployment: For the initial deployment of a data stream, a full refresh is necessary to ensure all data from the source system is ingested into Salesforce Data Cloud.
References:
Salesforce Documentation: Data Stream Setup
Salesforce Data Cloud Guide

質問 # 121
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