SAP SAP Certified Associate C_C4H63_2411 New Questions

 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.

The recommended schema for modeling orders when importing them into the SAP Customer Data Platform is the Activity schema. This schema is designed to contain all potential customer activities, which include orders, service calls, service requests, marketing campaigns, registration, subscription, and more. The ‘Orders’ activity is specifically preconfigured in the Activities schema, and it is made up of nodes that hold activity data such as order ID, currency description, order amount, and tax amount1.

References = The information is based on the SAP Customer Data Platform documentation, particularly the section on the Activity Schema found in the SAP Help Portal1.

 The purpose of the Connector Studio within the SAP Customer Data Platform is to serve as a low-code/no-code solution that enables the creation of integrations between the SAP Customer Data Platform and any REST platform or application. It allows users to create templates for source/destination REST API applications, facilitating the integration process and enabling seamless data flow between different systems.

References = This information is derived from the SAP Help Portal documentation on the Connector Studio, which provides a detailed explanation of its role and capabilities in the context of the SAP Customer Data Platform123.

The Overview tab in the customer dashboard of the SAP Customer Data Platform displays a comprehensive view of the customer profile. This includes all the activities associated with the customer, the segments to which the customer belongs, and the processing purposes for which the customer data is used. It provides a clear visual representation of the customer relationship, streamlined from various source applications, with key metrics and performance indicators (KPIs).

References = This information can be found in the SAP Customer Data Platform documentation, specifically within the SAP Help Portal’s section on the Customers Dashboard1.