C_C4H63_2411 Exam Dumps - SAP Certified Associate Questions and Answers

 The event model in the SAP Customer Data Platform supports various metadata fields to provide information about the event itself. Two of the supported metadata fields are:

Timestamp: This field is used as the original timestamp of the event occurrence. If not defined, the time of event ingestion is used instead.

Deduplication Identifier: This field is assigned for deduplication purposes to prevent the same event from being ingested more than once. If multiple events are sent with the same identifier value in this field, only the first will be ingested.

These metadata fields are crucial for ensuring the accuracy and uniqueness of event data within the platform.

References = The details about the supported metadata fields are found in the SAP Customer Data Platform documentation under the section "Event Metadata"1.

 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.

References =

SAP Help Portal: Action Validation1.

The SAP Customer Data Platform supports the use of the Generic Webservice Provider and Connector Studio to call external REST APIs. The Generic Webservice Provider can call any external REST API endpoints, and when the outbound action is executed, the SAP Customer Data Platform prepares the data and sends it to the configured REST API endpoint. The Connector Studio is recommended for building integrations with REST applications1.

References = This information is verified using the SAP Help Portal documentation on the Generic REST API Connector1.

In the context of SAP Customer Data Platform and specifically when dealing with the Unified Customer Profile, handling conflicts during data ingestion is critical for maintaining data integrity and coherence. The possible application identifier conflict policy options are designed to provide flexible handling of such conflicts based on the business requirements.

A. Raise an error and abort the entire ingestion operation:This option is used when the system encounters a conflict with the application identifiers during the ingestion process. The approach here is to prioritize data integrity by stopping the ingestion process if there's any ambiguity or conflict in the identifiers. This ensures that no erroneous data is incorporated into the Unified Customer Profile, maintaining its accuracy and reliability.

C. Create new Customer Profile:When a conflict is detected with application identifiers, another approach is to create a new customer profile. This option is chosen in scenarios where the incoming data is considered to be representing a new customer entity, and therefore, warrants the creation of a new profile to avoid overwriting or merging with existing data inaccurately.

Options B and D are not standard practices within the SAP Customer Data Platform for handling identifier conflicts during data ingestion into the Unified Customer Profile, as they could lead to data duplication or loss, compromising data quality.

References:

SAP Customer Data Cloud documentation on data ingestion and conflict resolution.

SAP help articles and tutorials related to the Unified Customer Profile in the SAP Customer Data Platform.

To authorize REST API calls to SAP Customer Data Platform, it is recommended to create a server application from the application library. When using a server application to make API calls, you can authenticate with an asymmetric RSA key pair, or a user key and secret combination. The process involves creating an application in SAP Customer Data Platform and then finding and saving your client key and secret, which are used to get a Gigya JWT token using OAuth 2.0.

References = This information is supported by the SAP Help Portal documentation on OAuth 2.0 Compliant REST API and Signing Requests to SAP Customer Data Platform12.

To obtain the application key and secret for authorizing REST API calls in the SAP Customer Data Platform, the recommended approach is:

D. By creating a server application from the application library.In the SAP Customer Data Platform, the application library serves as a centralized location where various applications can be managed and configured. By creating a server application within this library, you are provided with an application key and secret. These credentials are used to authenticate REST API calls securely, ensuring that only authorized applications can access and interact with the platform's data and services.

This method of obtaining credentials helps maintain a secure and controlled environment for API interactions, safeguarding against unauthorized access to sensitive customer data.

References:

SAP Customer Data Platform documentation on application management and API security.

Technical guides on setting up server applications and generating authentication credentials for API access.

To provide user access to the SAP Customer Data Platform console, administrators can utilize the Universe SAML Login configuration for secure authentication via SAML Identity Provider (IdP). Additionally, the Admin Users functionality in the console allows for the management of user roles and permissions, enabling the assignment of specific access rights to users within the platform. References = User Administration | SAP Help Portal, SAP Customer Data Platform | SAP Help Portal

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.

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.

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

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.

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

The three core pillars of the SAP Customer Data Platform are designed to provide a comprehensive framework for managing and leveraging customer data effectively. These pillars are:

C. Activate:This pillar emphasizes the platform's capability to utilize customer data to drive personalized engagements across various channels. Activation involves leveraging the unified customer profiles to trigger relevant actions, communications, and experiences tailored to individual customer needs and preferences.

D. Respect:Central to the SAP Customer Data Platform, this pillar underscores the importance of managing customer data with respect to privacy and consent. It involves ensuring that all customer data is collected, stored, and used in compliance with data protection regulations and individual consent preferences, fostering trust and transparency in customer relationships.

E. Unify:This pillar focuses on the platform's ability to consolidate data from multiple sources into a cohesive and comprehensive view of the customer. Unification involves integrating disparate data silos to create a single, unified customer profile that provides a 360-degree view of each customer, enabling more informed decision-making and personalized customer experiences.

Together, these pillars form the foundation of the SAP Customer Data Platform's approach to customer data management, supporting businesses in delivering personalized, respectful, and cohesive customer experiences.

References:

SAP Customer Data Platform documentation on the platform's core capabilities and principles.

Best practices for leveraging the core pillars of the SAP Customer Data Platform to enhance customer engagement and data management strategies.