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Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should this use case be addressed in Data Cloud?
A.
B.
C.
D. Metrics on metrics
This feature can help Northern Trail Outfitters calculate each customer’s lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators.
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?
A.
B.
C.
D. Engagement
The appropriate data stream category to be assigned for time-based operations in segmentation and calculated insights would be Engagement.
Engagement data typically involves time-based interactions, such as customer behavior, activity, or interaction data, which are critical for segmentation and insights based on time.
Transaction and Sales Order data categories are more focused on financial or order-related data, while Individual refers to static, personal customer data.
Therefore, Engagement is the most suitable for time-based operations.
Which three options can be used to build a filter in the Segmentation Canvas?
A. Data Lake Objects
B. Streaming Insights
C. Calculated Insights
D. Related Attributes
E. Direct Attributes
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution.
References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm &type=5
A consultant needs to package Data Cloud components from one organization to another. Which two Data Cloud components should the consultant include in a data kit to achieve this goal? (Choose 2 answers)
A. Data model objects
B. Segments
C. Calculated insights
D. Identity resolution rulesets
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?
A. Transformation Formulas
B. Data Harmonization
C. Value Suggestion
D. Global Picklists
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
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