SAP C_C4H63_2411 SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Exam Practice Test

Answer : B, C

In the context of the SAP Customer Data Platform, matching rules are critical for accurately merging and linking customer data from various sources. Regarding preconfigured matching rules:

B . The Unified Customer Profile rules can be edited and re-ordered, but not deleted. This flexibility allows organizations to tailor the matching logic to their specific needs and priorities while maintaining a core set of rules that ensure consistent and reliable matching across customer data sets.

C . The Unified Customer Profile rules can be edited, re-ordered, and deleted. In some configurations, it's possible to have full control over these rules, including the ability to delete them if they are no longer relevant or if better matching criteria have been established. This level of control supports dynamic and evolving data management strategies, allowing businesses to adapt their matching logic as their understanding of their customer data deepens or as their business requirements change.

These options underscore the platform's flexibility in managing customer data, enabling organizations to fine-tune how individual customer records are identified, merged, and maintained over time.

SAP Customer Data Platform documentation on data matching and merging capabilities.

Best practices for configuring matching rules in the Unified Customer Profile within the SAP Customer Data Platform.

Answer : D

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.

Reference= 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.

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.

Answer : A, C

The SAP Customer Data Platform supports CSV and JSON file formats for storage application source types. This is indicated by the configuration options available for cloud storage applications like AWS S3, where the platform allows the ingestion of files and specifies CSV and JSON as the supported file formats for reading and writing data.Reference=SAP Help Portal on Cloud Storage Applications,SAP Help Portal on AWS S3

Answer : A, B, E

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.

Answer : A, C, E

In the SAP Customer Data Platform, entry conditions for milestones in a CX journey are defined by certain criteria that trigger the customer's transition from one milestone to the next. These entry conditions can be associated with one or more CX flows. The correct options that can be used to create these entry conditions are:

Segments: These are used to define a part of the customer base that shares common characteristics.

Profile attributes: These attributes are related to the customer's profile data.

Activity indicators: These are specific markers or signals derived from customer activities.

Group attributes and activity attributes are not mentioned as options for creating entry conditions in the provided resources.

Reference= The information is based on the SAP Customer Data Platform documentation, which details how to add milestones to a CX journey and defines the entry conditions necessary for transitioning between milestones12.

Answer : B, C

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.

Reference= This relationship is outlined in the SAP Customer Data Platform documentation available on the SAP Help Portal, which provides comprehensive information on the configuration and management of tenants, workspaces, and business units12.

Answer : B

The SAP Customer Data Platform supports the implementation of family customer accounts through the use of groups and relationships. This approach allows for the creation of a unified view of customer contacts, associated accounts, and the relationships within these accounts. By leveraging this structure, organizations can gain enriched, real-time insights into their customer base, which is essential for driving growth and providing a customer-centric experience.

Reference= This information is corroborated by the SAP Community article discussing the use of the SAP Customer Data Platform for B2B use cases, which outlines the importance of understanding customer relationships and the benefits of having actionable data1.