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| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Topic 2: Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Topic 3: Segmentation and Activation | - Activation to Salesforce and external systems - Segmentation logic and audience building |
| Topic 4: Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
| Topic 5: Data Governance and Privacy | - Security and data access controls - Data privacy and compliance concepts |
>> New Guide Salesforce-Data-Cloud Files <<
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NEW QUESTION # 43
A customer has a calculated insight about lifetime value.
What does the consultant need to be aware of if the calculated insight.
needs to be modified?
Answer: D
Explanation:
A calculated insight is a multidimensional metric that is defined and calculated from data using SQL expressions. A calculated insight can include dimensions and measures. Dimensions are the fields that are used to group or filter the data, such as customer ID, product category, or region. Measures are the fields that are used to perform calculations or aggregations, such as revenue, quantity, or average order value. A calculated insight can be modified by editing the SQL expression or changing the data space. However, the consultant needs to be aware of the following limitations and considerations when modifying a calculated insight12:
Existing dimensions cannot be removed. If a dimension is removed from the SQL expression, the calculated insight will fail to run and display an error message. This is because the dimension is used to create the primary key for the calculated insight object, and removing it will cause a conflict with the existing data.
Therefore, the correct answer is B.
New dimensions can be added. If a dimension is added to the SQL expression, the calculated insight will run and create a new field for the dimension in the calculated insight object. However, the consultant should be careful not to add too many dimensions, as this can affect the performance and usability of the calculated insight.
Existing measures can be removed. If a measure is removed from the SQL expression, the calculated insight will run and delete the field for the measure from the calculated insight object. However, the consultant should be aware that removing a measure can affect the existing segments or activations that use the calculated insight.
New measures can be added. If a measure is added to the SQL expression, the calculated insight will run and create a new field for the measure in the calculated insight object. However, the consultant should be careful not to add too many measures, as this can affect the performance and usability of the calculated insight. References: Calculated Insights, Calculated Insights in a Data Space.
NEW QUESTION # 44
Which match criteria is only available as custom in order to perform an exact match in Identity Resolution?
Answer: A
Explanation:
Explanation
Party Identification Id is the only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard match criteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. References: Create Custom Match Criteria
NEW QUESTION # 45
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options. Which Data Cloud feature can help with this use case?
Answer: D
Explanation:
Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to standardize values across different data sources and improve data quality. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm&type=5
NEW QUESTION # 46
How does an administrator increase the consolidation rate for Identity Resolution?
Answer: A
Explanation:
Reducing the number of matching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. If there are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate. Reference: Identity Resolution Match Rules
NEW QUESTION # 47
A retail customer wants to bring customer data from different sources and wants to take advantage of Identity Resolution so that it can be used in Segmentation. On which entity should this be segmented for activation membership?
Answer: B
Explanation:
The Unified Individual entity represents the result of Identity Resolution, which links together multiple records of an individual from different sources into a single profile4. This entity can be used for Segmentation and Activation, as it provides a complete and accurate view of each customer.
NEW QUESTION # 48
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