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Cumulus Financial uses calculated insights to compute the total banking value per branch for its high net worth customers. In the calculated insight, "banking value" is a metric, "branch" is a dimension, and "high net worth" is a filter. What can be included as an attribute in activation?
A. "high net worth" (filter)
B. "branch" (dimension) and "banking metric)
C. "banking value" (metric)
D. "branch" (dimension)
Explanation:
According to the Salesforce Data Cloud documentation, an attribute is a dimension or a measure that can be used in activation. A dimension is a categorical variable that can be used to group or filter data, such as branch, region, or product. A measure is a numerical variable that can be used to calculate metrics, such as revenue, profit, or count. A filter is a condition that can be applied to limit the data that is used in a calculated insight, such as high net worth, age range, or gender. In this question, the calculated insight uses “banking value” as a metric, which is a measure, and “branch” as a dimension. Therefore, only “branch” can be included as an attribute in activation, since it is a dimension. The other options are either measures or filters, which are not attributes.
Which statement about Data Cloud's Web and Mobile Application Connector is true?
A. A standard schema containing event, profile, and transaction data is created at the time the connector is configured.
B. The Tenant Specific Endpoint is auto-generated in Data Cloud when setting the connector.
C. Any data streams associated with the connector will be automatically deleted upon deleting the app from Data Cloud Setup.
D. The connector schema can be updated to delete an existing field.
Where is value suggestion for attributes in segmentation enabled when creating the DMO?
A. Data Mapping
B. Data Transformation
C. Segment Setup
D. Data Stream Setup
Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a new line of business. The new business specializes in gourmet camping food. For business reasons as well as security reasons, it's important to NTO to keep all Data Cloud data separated by brand. Which capability best supports NTO's desire to separate its data by brand?
A. Data sources for each brand
B. Data model objects for each brand
C. Data spaces for each brand
D. Data streams for each brand
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?
A. Unified Individual > Unified Link Individual > Sales Order
B. Unified Individual > Individual > Sales Order
C. Sales Order > Individual > Unified Individual
D. Sales Order > Unified Individual
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