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Why does SAP Customer Data Platform provide two views of the customer?
Which of the following describes a business unit in SAP Customer Data Platform?
Which features of SAP Customer Data Platform can be used to perform verification and transformation of ingested data? Note: There are 3 correct answers to this question.
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.
Which of these activation methods can be used with actions?
Note: There are 2 correct answers to this question.
The SAP Customer Data Platform is designed to manage customer data across different levels of organization. A tenant represents an instance of the platform provisioned for an organization, and within this tenant, multiple workspaces can be created. These workspaces serve as separate environments for development and production purposes. Additionally, a business unit, which is a logical partition within a workspace, can also contain multiple workspaces, allowing for further segmentation and management of customer data within the same organizational unit.
Which of the following are event configuration steps in a source application? Note: There are 2 correct answers to this question.
When configuring events in a source application for integration with SAP Customer Data Platform, certain key steps ensure the seamless and secure transmission of event data. Two critical components of this configuration process are:
B . Mappings: Event data often originates in formats and structures that differ from the schema used by the target system, in this case, the SAP Customer Data Platform. Mappings are essential for translating the event data structure from the source application into a format that is understood by the platform. This involves defining how each piece of data in the source event correlates to attributes within the SAP Customer Data Platform, ensuring data is ingested accurately and meaningfully.
C . Authentication: Securely transmitting event data from a source application to the SAP Customer Data Platform requires proper authentication mechanisms. This step ensures that only authorized sources can send data, maintaining the integrity and security of the data being ingested. Authentication can involve various methods, such as API keys, OAuth tokens, or other secure authentication protocols, to establish a trusted connection between the source application and the SAP Customer Data Platform.
These steps are fundamental in the event configuration process within a source application, ensuring that the data is not only correctly mapped to the SAP Customer Data Platform's schema but also securely transmitted.
SAP Customer Data Platform documentation on integrating source applications and event data ingestion.
Best practices guides for data mapping and secure authentication in the context of event configuration for SAP Customer Data Platform.
