Sure Pass Exam C_C4H63_2411 PDF

 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.

References:

SAP Customer Data Platform documentation on data management capabilities.

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

Activity indicators within the SAP Customer Data Platform are calculated metrics that measure the performance of various business areas based on customer activities. They serve as foundational components for constructing Customer Experience (CX) flows, building audiences for targeted marketing, and marking entries in CX journey milestones. These indicators are recalculated whenever relevant customer activity is ingested, allowing for dynamic segmentation and triggering of CX flows or journey milestones based on customer behavior.

References = This information is corroborated by the SAP Help Portal documentation on Activity Indicators, which outlines their role in gauging business performance and their application in CX flows, audience building, and CX journey milestones1.

In the SAP Customer Data Platform, within the Unique Identifiers section of the Customer Profile view, a warning sign next to attributes typically indicates:

B. It indicates that the values of those attributes are shared with other customer profiles.This warning is used to highlight potential issues with data uniqueness, where the supposed unique identifiers are not exclusive to a single customer profile but are instead found across multiple profiles. This situation could lead to data integrity issues, as unique identifiers are meant to distinguish each customer profile distinctly.

Addressing these warnings is crucial for maintaining the reliability of the customer data, ensuring that each profile is uniquely and accurately identified within the platform.

References:

SAP Customer Data Platform user documentation on managing customer profiles and understanding the significance of unique identifiers.

Best practices for data management within the SAP Customer Data Platform, with a focus on maintaining the uniqueness of customer identifiers.

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.

References =

SAP Learning: Using Customer Schema1.

SAP Help Portal: Customer Schema2.