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These are two characteristics of Formulas. Formulas are a feature that allows you to create custom fields in the data model using simple logic on a row-based operation. For example, you can use a formula to create a field that concatenates the first name and last name of an individual. Formulas are easyto use and self-service, meaning that you can create them without coding or complex queries. You can use formulas to enrich your data and create more meaningful segments and insights. References: Formulas

The relationship between Individual and Contact Point Objects is 1: Many. This means that one Individual can have many Contact Points,such as email addresses, phone numbers, or postal addresses, but each Contact Point can only belong to one Individual. References: Data Model Overview

Reconciliation rules are used to select attributes for Unified Individuals when there is conflicting information in the Data Model. Reconciliation rules can use different methods to prioritize values, such as source sequence, most recent value, or most frequent value. For example, if two profiles have different first names, reconciliation rules can determine which one to use for the unified profile based on the source sequence or the most recent value. References: Identity Resolution Reconciliation Rules

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 ofthe year. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm &type=5

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

Calculated Insights are predefined and calculated metricsthat can help you build segments. Some of the benefits of Calculated Insights over Segmentation Operators are:

• Calculated Insights are better suited for non-trivial calculations, such as calculating a Net Promoter Score as a percentage, which would requiremultiple steps and operators in segmentation.
• Calculated Insights can query engagement data greater than 2 years, while segmentation operators are limited to 2 years of engagement data.
• Calculated Insights are better suited for complex queries over multiple objects, such as joining data from different sources or aggregating data across different levels.

This method should be used when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK. Streaming Insight allows you to query and aggregate datafrom real-time streams using window functions. References:https://help.salesforce.com/s/articleView?id=sf.c360_a _streaming_insights.htm&type=5

A data stream cannot be deleted if any of its attributes are mapped to a Data Model object or used in a Calculated Insight3. These dependencies need to be removed before deleting the data stream.

These two features are impacted by the timezone setting in the org DataCloud is provisioned in. The segment schedule determines how often a segment is refreshed based on the selected timezone. The activation schedule determines how often a segment is exported to an activation target based on the selected timezone. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_schedule.htm &type=5https://help.salesforce.com/s/articleView?id=sf.c360_a_activatio n_schedule.htm&type=5

These two remedies can help resolve the error “Segment references too many Data Lake Objects (DLOs)”. Spacing out the segment schedules can reduce the concurrent load on the Data Lake Objects and improve performance. Splitting the segment into smaller segments can reduce the number of Data Lake Objects that are referenced by each segment. References:https://help.salesforce.com/s/articleView ?