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| Section | Objectives |
|---|---|
| Topic 1: Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Topic 2: Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Topic 3: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 4: Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
| Topic 5: Data Cloud Overview | - Explain the purpose and functionality of Data Cloud - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform |
| Topic 6: Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Topic 7: Activation | - Describe activation use cases - Configure activations to various targets |
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NEW QUESTION # 60
A user is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?
Answer: C
Explanation:
Value suggestion is a feature that allows users to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature can take up to 24 hours to process and display the values for newly-modeled data. Therefore, if a user is not seeing suggested values from newly-modeled data, it is likely that the value suggestion is still processing and will be available soon. The other options are incorrect because value suggestion does not require any specific permissions, can work on both direct and related attributes, and can return more than 50 values for a specific attribute, depending on the data type and frequency of the values. References: Use Value Suggestions in Segmentation, Data Cloud Limits and Guidelines
NEW QUESTION # 61
A user wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV).
Which sequence of data model object (DMO) joins is necessary within the calculated Insight to enable this calculation?
Answer: C
Explanation:
To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the sequence of data model object (DMO) joins that is necessary within the calculated Insight is Unified Individual > Unified Link Individual > Sales Order. This is because the Unified Individual DMO represents the unified profile of an individual or entity that is created by identity resolution1. The Unified Link Individual DMO represents the link between a unified individual and an individual from a source system2. The Sales Order DMO represents the sales order information from a source system3. By joining these three DMOs, you can calculate the LTV of a unified individual based on the sales order data from different source systems. The other options are incorrect because they do not join the correct DMOs to enable the LTV calculation. Option B is incorrect because the Individual DMO represents the source profile of an individual or entity from a source system, not the unified profile4. Option C is incorrect because the join order is reversed, and you need to start with the Unified Individual DMO to identify the unified profile. Option D is incorrect because it is missing the Unified Link Individual DMO, which is needed to link the unified profile with the source profile. References: Unified Individual Data Model Object, Unified Link Individual Data Model Object, Sales Order Data Model Object, Individual Data Model Object
NEW QUESTION # 62
When creating a segment on an individual, what is the result of using two separate containers linked by an AND: At Least 1 of GoodsProduct.Color Is Equal To 'red' AND At Least 1 of GoodsProduct.
PrimaryProductCategory Is Equal To shoes'?
Answer: D
Explanation:
According to the Data Cloud documentation, when using two separatecontainers linked by an AND operator, the segment includes individuals who meet both conditions. In this case, the segment includes individuals who purchased at least one product with the color attribute equal to 'red', and also purchased at least one product with the primary product category attribute equal to 'shoes'. The products do not have to be the same or in the same order line item.
NEW QUESTION # 63
Which two common use cases can be addressed with Data Cloud?
Answer: C,D
Explanation:
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 byenabling customers to create segments, insights, and activations based on their customer data. References: [Data Cloud Overview], [Customer 360 Data Model], [Data Activation]
NEW QUESTION # 64
Which operator can be used to create a segment for a birthday campaign that is evaluated daily?
Answer: A
Explanation:
This operator can be used to create a segment for a birthday campaign that is evaluated daily. It compares a date attribute to the current date and returns true if they have the same month and day, regardless of the year. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm&type=5
NEW QUESTION # 65
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