唯一無二Salesforce-Data-Cloud試験感想 |素晴らしい合格率のSalesforce-Data-Cloud Exam |素敵なSalesforce-Data-Cloud: Salesforce Data Cloud Accredited Professional Exam

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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

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

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Salesforce Data Cloud Accredited Professional Exam 認定 Salesforce-Data-Cloud 試験問題 (Q156-Q161):

質問 # 156
What does the Source Sequence reconciliation rule do in identity resolution?

A. Sets the priority of specific data sources when building attributes in a unified profile, such as afirst or last name
B. Identifies which individual records should be merged into a unified profile by setting a priority forspecific data sources
C. Identifies which data sources should be used in the process of reconcillation by prioritizing themost recently updated data source
D. Includes data from sources where the data is most frequently occurring

正解：A

解説：
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules

質問 # 157
Which three Data Model objects do Reconciliation Rules operate across?

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

正解：B、D、E

解説：
These are the three Data Model objects that 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. Reference: Identity Resolution Reconciliation Rules

質問 # 158
Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?

A. Activation Schedule
B. Identity Resolution
C. Segment Schedule
D. Ingestion Schedule

正解：A、C

解説：
These two features are impacted by the timezone setting in the org DataCloud is provisioned in. The segment schedule determines how often a segment is refreshed based on the selected timezone. The activation schedule determines how often a segment is exported to an activation target based on the selected timezone.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_schedule.htm&type=5https://h

質問 # 159
Which consideration related to the way Data Cloud ingests CRM data is true?

A. The CRM Connector allows standard fields to stream into Data Cloud in real time.
B. Formula fields are refreshed at regular sync intervals and are updated at the next full refresh.
C. CRM data cannot be manually refreshed and must wait for the next scheduled synchronization,
D. The CRM Connector's synchronization times can be customized to up to 15-minute intervals.

正解：A

解説：
The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real time.
This means that any changes to the standard fields in the CRM data source are reflected in Data Cloud almost instantly, without waiting for the next scheduled synchronization. This feature enables Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation1.
The other options are incorrect for the following reasons:
A). CRM data can be manually refreshed at any time by clicking the Refresh button on the data stream detail page2. This option is false.
B). The CRM Connector's synchronization times can be customized to up to 60-minute intervals, not 15- minute intervals3. This option is false.
C). Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4. A full refresh is a complete data ingestion process that occurs once every 24 hours or when manually triggered. This option is false.
1: Connect and Ingest Data in Data Cloud article on Salesforce Help
2: Data Sources in Data Cloud unit on Trailhead
3: Data Cloud for Admins module on Trailhead
4: [Formula Fields in Data Cloud] unit on Trailhead
[Data Streams in Data Cloud] unit on Trailhead

質問 # 160
Which three components of Data Cloud can be bundled within a Data Kit?

A. Data Streams
B. Segments
C. Data Models
D. Identity Resolution Rulesets
E. Calculated Insights

正解：A、B、C

解説：
These three components of Data Cloud can be bundled within a Data Kit. A Data Kit is a package that contains data model objects, segments, and data streams that can be installed in another Data Cloud org. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_kit.htm&type=5

質問 # 161
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