Master SAP C_C4H63_2411 Exam with Reliable Practice Questions

Correct : A

When an action is triggered via a CX flow in the SAP Customer Data Platform, the system checks the outbound data to ensure it passes the validation. If the data does not pass the validation, the action fails, and consequently, the data is not passed to the destination application.This validation process is crucial as it ensures that only data that meets the predefined criteria is transmitted, maintaining the integrity of the data exchange process1.

Reference=

SAP Help Portal: Action Validation1.

Correct : A, B, C

The SAP Customer Data Platform identifies several valid reasons for processing data when creating processing purposes. These include:

Consent: Processing based on the data subject's consent, typically obtained through agreements like terms of service or privacy policies.

Contract: Processing required to fulfill a contract, such as using a customer's address for product delivery.

Legal obligation: Processing necessary to comply with legal requirements.

These reasons ensure that personal data handling within the platform adheres to applicable laws and regulations, such as GDPR and CCPA, and aligns with the principles of data governance enforced by the platform.

Reference= This information is supported by the SAP Help Portal documentation on processing purposes within the SAP Customer Data Platform, which outlines the use cases and core concepts related to data governance enforcement1.

Correct : B, D, E

Within the SAP Customer Data Platform, you can design predictive models, also known as predictive indicators, for various purposes. The types of models you can create include predicting churn probabilities for individual profiles (CHURN Profile), predicting churn probabilities for groups (CHURN Group), and predicting customer lifetime value for individual profiles (CLV Profile). These models help in understanding and anticipating customer behaviors, which is crucial for maintaining customer relationships and maximizing customer value.

Reference= The types of predictive models available for configuration in the SAP Customer Data Platform are detailed in the SAP Help Portal documentation on managing models and predictive indicators1.

Correct : A, D, E

The SAP Customer Data Platform allows for the application of normalization rules to outbound data to ensure it matches the destination platform's format. The normalization options include:

Remove punctuation: This rule removes all punctuation marks from the data, which can be necessary for formats that do not accept such characters.

Find and replace: This rule replaces an expression (text, numerical sequence, etc.) with a different expression, allowing for customization of data to fit the destination's requirements.

Remove spaces: This rule removes all spaces from the data, which is useful for platforms that require data without spaces, such as in certain phone number formats.

These rules help in transforming the data to meet the specific format requirements of various destination platforms.

Reference= The information provided here is based on the SAP Customer Data Platform's official documentation regarding action normalization1.

Correct : C

The SAP Customer Data Platform allows a maximum of 100 segments per business unit. Segments are used to classify customers based on various attributes or activities and are evaluated in real-time whenever a customer profile is updated. This limit applies to both the contextual profile and the unified customer profile views.

Reference= The information regarding the segment limit is found in the SAP Help Portal documentation under the section for Segments1.