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研究により、学習への関心を刺激することが最善の解決策であることがわかっています。したがって、Salesforce-Data-Cloud準備ガイドの焦点は、Salesforce-Data-Cloud試験の準備方法を変更することにより、厳格で無駄なメモリモードを改革することです。 Salesforce-Data-Cloud実践教材のソフトバージョンは、知識と最新テクノロジーを組み合わせて学習力を大幅に刺激します。楽しい学習シーンと鮮明な説明をシミュレートすることにより、ユーザーは資格のあるSalesforce-Data-Cloud試験に合格する自信が大きくなります。
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion and Modeling | 20% | - Data validation and inspection - Ingestion from various sources - Data modeling best practices - Transformation and mapping |
| Act on Data | 18% | - Activation concepts and use cases - Process automation and triggering - Attribute usage and management - Troubleshooting activations |
| Identity Resolution | 14% | - Conflict resolution - Matching and reconciliation rules - Unified profile creation - Identity use cases |
| Data Cloud Setup and Administration | 12% | - Data spaces and configuration - Monitoring and maintenance tools - Data streams and data bundles - Permissions and access control |
| Segmentation and Insights | 18% | - Calculated vs streaming insights - Insight implementation - Segment membership analysis - Segment creation and configuration |
| Data Cloud Overview | 18% | - Architecture and ecosystem - Core concepts and terminology - Business value and use cases |
>> Salesforce-Data-Cloud認定デベロッパー <<
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質問 # 13
Which data sources are available from Marketing Cloud as a starter bundle?
正解:C
解説:
Explanation
These data sources are available from Marketing Cloud as a starter bundle. They provide basic contact data, such as email address, mobile number, and device ID, as well as engagement data, such as email opens, clicks, bounces, unsubscribes, SMS sends, deliveries, opt-outs, and push sends, opens, and opt-outs.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundatio
質問 # 14
A company wants to test its marketing campaigns with different target populations.
What should the consultant adjust in the Segment Canvas interface to get different populations?
正解:B
解説:
Segmentation in Salesforce Data Cloud:
The Segment Canvas interface is used to define and adjust target populations for marketing campaigns.
Reference: Salesforce Segment Canvas Documentation
Elements for Adjusting Target Populations:
Direct Attributes: These are specific attributes directly related to the target entity (e.g., customer age, location).
Related Attributes: These are attributes related to other entities connected to the target entity (e.g., purchase history).
Population Filters: Filters applied to define and narrow down the segment population (e.g., active customers).
Reference: Salesforce Segmentation Guide
Steps to Adjust Populations in Segment Canvas:
Direct Attributes: Select attributes that directly describe the target population.
Related Attributes: Incorporate attributes from related entities to enrich the segment criteria.
Population Filters: Apply filters to refine and target specific subsets of the population.
Example: To create a segment of "Active Customers Aged 25-35," use age as a direct attribute, purchase activity as a related attribute, and apply population filters for activity status and age range.
Reference: Salesforce Segment Canvas Tutorial
Practical Application:
Navigate to the Segment Canvas.
Adjust direct attributes and related attributes based on campaign goals.
Apply population filters to fine-tune the target audience.
Reference: Salesforce Marketing Cloud Segmentation Best Practices
質問 # 15
What is Data Cloud's primary value to customers?
正解:A
解説:
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 andsystems, using the Customer 360 data model as the foundation. References: [Data Cloud Overview], [Customer 360 Data Model]
質問 # 16
Which two characteristics describe the Customer 360 data model?
正解:A、C
解説:
The Customer 360 data model is a conceptual model and a canonical model. A conceptual model is a high-level representation of the entities and relationships in a domain of interest, without specifying any implementation details. A canonical model is a common and consistent data model that can be used across different systems and applications. Reference: [Customer 360 Data Model Overview], [Conceptual Model], [Canonical Model]
質問 # 17
Which two objects or fields are supported for ingestion using the Salesforce CRM connector?
正解:A、B
解説:
These two objects or fields are supported for ingestion using the Salesforce CRM connector. You can select standard or custom objects from your Salesforce CRM org and map them to Data Cloud data model objects. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5
質問 # 18
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高収入をもたらす良い仕事を見つけたいですか?あなたは優秀な才能になりたいですか? Salesforce-Data-Cloud認定は、あなたが望む夢を実現するのに役立ちます。なぜなら、SalesforceのSalesforce-Data-Cloudテスト準備は、仕事を探しているときに明らかな利点があることを証明でき、仕事を非常にうまく処理できるからです。そのため、Salesforce-Data-Cloud試験の準備は、Salesforce-Data-Cloud試験に合格して良い仕事を見つけるのに役立ちます。何を待っていますか? Salesforce-Data-Cloud試験問題を購入してください。
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