SAP C_C4H63_2411 Exam Dumps

In the SAP Customer Data Platform, a single segment can be defined with a maximum of 200 conditions. This allows for the creation of highly customized customer segments by using various 'include/exclude' and 'and/or' conditions, as well as different operators. These segments are evaluated in real-time whenever a customer profile is updated, ensuring that the segmentation is always current and applied to both the contextual profile and the unified customer profile views.

Reference= This information is confirmed by the SAP Help Portal documentation on Segments and Segment Attributes within the SAP Customer Data Platform12.

In the SAP Customer Data Platform, ensuring the quality and consistency of ingested data is crucial for maintaining accurate and actionable customer profiles. The platform provides several features to perform verification and transformation of this data:

A . Validation: This feature checks the ingested data against predefined schemas or rules to ensure it meets the required standards and formats. Validation helps in identifying and rejecting incorrect or malformed data before it enters the system, thus maintaining data integrity.

B . Scripting: Scripting allows for the customization of data processing logic, including data validation, transformation, and enrichment. Through scripting, complex data manipulation tasks can be automated, such as reformatting values, concatenating fields, or applying conditional logic to data fields.

E . Normalization: Normalization involves standardizing and cleaning the data to ensure consistency across different data sources and types. This may include tasks such as converting dates to a standard format, standardizing address information, or mapping varied terms to a unified set of values.

These features work together to ensure that the data ingested into the SAP Customer Data Platform is accurate, consistent, and in the correct format for further processing and analysis.

SAP Customer Data Platform documentation on data management capabilities.

Best practices for data validation, scripting, and normalization in the SAP Customer Data Platform.

The SAP Customer Data Platform ingests data from various source applications to build a coherent view of the customers. It defines a customer schema to create a common data model for all incoming customer data. Events are also a part of the data ingestion process, as they represent the actions taken by customers and are crucial for creating a complete customer profile.Reference=SAP Customer Data Platform | SAP Help Portal,How does SAP Customer Data Platform do it? - SAP Learning

The Event Playground in the SAP Customer Data Platform includes functionalities that allow for the ingestion of a test event with test values provided via a dedicated form. It also shows logs and errors at each step of the pipeline, presented in both table format and JSON.This enables users to track and understand results and failures, locate data processing issues, and identify connector problems1.Reference=Event Playground | SAP Help Portal

Within the SAP Customer Data Platform, the customer schema can be configured to include various elements. Specifically, 'Activities' and 'Profile entity' are two components that can be configured as part of the customer schema. The 'Profile entity' is a collection of attributes associated with the customer's identity, which includes both predefined attributes and custom attributes that can be added as needed.On the other hand, 'Activities' refer to the actions or events associated with the customer, which can also be defined and included in the customer schema12.

Reference=

SAP Learning: Using Customer Schema1.

SAP Help Portal: Customer Schema2.