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| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion and Modeling | 20% | - Data modeling best practices - Transformation and mapping - Ingestion from various sources - Data validation and inspection |
| Act on Data | 18% | - Activation concepts and use cases - Troubleshooting activations - Attribute usage and management - Process automation and triggering |
| Segmentation and Insights | 18% | - Segment creation and configuration - Segment membership analysis - Calculated vs streaming insights - Insight implementation |
| Identity Resolution | 14% | - Unified profile creation - Conflict resolution - Identity use cases - Matching and reconciliation rules |
| Data Cloud Setup and Administration | 12% | - Data streams and data bundles - Monitoring and maintenance tools - Data spaces and configuration - Permissions and access control |
| Data Cloud Overview | 18% | - Business value and use cases - Architecture and ecosystem - Core concepts and terminology |
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質問 # 63
Which three Data Model objects do Reconciliation Rules operate across?
正解：A、B、C
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 # 64
A consultant is integrating an Amazon 53 activated campaign with the customer's destination system.
In order for the destination system to find the metadata about the segment, which file on the 53 will contain this information for processing?
正解：B
解説：
The file on the Amazon S3 that will contain the metadata about the segment for processing is B. The json file. The json file is a metadata file that is generated along with the csv file when a segment is activated to Amazon S3. The json file contains information such as the segment name, the segment ID, the segment size, the segment attributes, the segment filters, and the segment schedule. The destination system can use this file to identify the segment and its properties, and to match the segment data with the corresponding fields in the destination system. References: Salesforce Data Cloud Consultant Exam Guide, Amazon S3 Activation
質問 # 65
A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?
正解：D
解説：
The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution. References:
1: Data Model Objects in Data Cloud
質問 # 66
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?
正解：C、D
解説：
These two applications automatically create activation targets when they are connected to Data Cloud. You can use these targets to activate segments or calculated insights to these applications. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_activation.htm&type=5
質問 # 67
A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing.
What should a consultant recommend in this scenario?
正解：C
解説：
Batch transforms are a feature that allows creating new data lake objects based on existing data lake objects and applying transformations on them. This can be useful for splitting, merging, or reshaping data to fit the data model or business requirements. In this case, the consultant can use batch transforms to create a second data lake object that contains only the airline points from the original loyalty data object. The original object can be modified to contain only the hotel points. This way, the client can have two separate records for each point system and track and process them accordingly. References: Batch Transforms, Create a Batch Transform
質問 # 68
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