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| Section | Objectives |
|---|---|
| Topic 1: Segmentation and Activation | - Activation to Salesforce and external systems - Segmentation logic and audience building |
| Topic 2: Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Topic 3: Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
| Topic 4: Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Topic 5: Identity Resolution and Unification | - Identity resolution rules - Unified customer profile concepts |
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42. Frage
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?
Antwort: A,C
Begründung:
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.References:https://help.
salesforce.com/s/articleView?id=sf.c360_a_data_cloud_activation.htm&type=5
43. Frage
Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind.
Which two use cases are considered a good fit for Data Cloud?
Choose 2 answers
Antwort: B,D
Begründung:
Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the use cases that are considered a good fit for Data Cloud are:
To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help customers resolve identities across different channels and sources and create unified profiles of their customers.
To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes.
The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities.
Learn How Data Cloud Works
About Salesforce Data Cloud
Discover Use Cases for the Platform
Understand Common Data Analysis Use Cases
44. Frage
Which two requirements must be met for a calculated insight to appear in the segmentation canvas?
Choose 2 answers
Antwort: B,C
Begründung:
A calculated insight is a custom metric or measure that is derived from one or more data model objects or data lake objects in Data Cloud. A calculated insight can be used in segmentation to filter or group the data based on the calculated value. However, not all calculated insights can appear in the segmentation canvas. There are two requirements that must be met for a calculated insight to appear in the segmentation canvas:
The calculated insight must contain a dimension including the Individual or Unified Individual Id. A dimension is a field that can be used to categorize or group the data, such as name, gender, or location. The Individual or Unified Individual Id is a unique identifier for each individual profile in Data Cloud. The calculated insight must include this dimension to link the calculated value to the individual profile and to enable segmentation based on the individual profile attributes.
The primary key of the segmented table must be a dimension in the calculated insight. The primary key is a field that uniquely identifies each record in a table. The segmented table is the table that contains the data that is being segmented, such as the Customer or the Order table. The calculated insight must include the primary key of the segmented table as a dimension to ensure that the calculated value is associated with the correct record in the segmented table and to avoid duplication or inconsistency in the segmentation results.
Create a Calculated Insight, Use Insights in Data Cloud, Segmentation
45. Frage
What component of Calculated Insights can be included as attribute data in an activation?
Antwort: C
Begründung:
Explanation
Dimensions are attributes that can be used to group or filter data in calculated insights. You can include dimensions as attribute data in an activation by selecting them from the available attributes list.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_calculated_insights.htm&type=5
46. Frage
Which of the following functions returns the first value from a list that isn't empty?
Antwort: C
Begründung:
COALESCE is the function that returns the first value from a list that isn't empty. It takes a list of values asarguments and returns the first non-empty value. For example, COALESCE(NULL, '', 'Hello', 'World') returns 'Hello'. If all values are empty, it returns NULL. References: COALESCE
47. Frage
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