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

Answer : A, C

When importing birthday data into the SAP Customer Data Platform, two types of pre-processing can be applied to the birthday attribute: normalization and validation. Normalization ensures that the birthday data is in a consistent and standard format, which is crucial for accurate data analysis and segmentation.Validation checks the data for accuracy and completeness, ensuring that the birthdays are valid dates and are correctly formatted before they are imported into the platform.Reference= The information about pre-processing birthday data by applying normalization and validation is supported by the SAP Customer Data Platform's documentation and learning resources, which outline the best practices for data management within the platform1.

Answer : A, B

Within the SAP Customer Data Platform, predictive indicators are designed to make predictions based on customer profile or group and activity data. Specifically, you can select predictions forCustomer lifetime value (CLV)andCustomer churn.The CLV prediction is about forecasting the potential revenue a customer will generate over their lifetime, while the churn prediction estimates the likelihood of a customer ceasing to use a company's services or products1.

Reference= This information is derived from the SAP Help Portal documentation, which details the types of predictions you can configure for predictive indicators within the SAP Customer Data Platform, including churn probabilities for profiles and groups, as well as customer lifetime value for profiles and groups1.

Answer : B

In the SAP Customer Data Platform, the customer dashboard provides a comprehensive view of individual customer profiles, including their attributes, behaviors, and interactions with the brand. To view the segments a customer profile belongs to:

B . Overview: The 'Overview' tab in the customer dashboard is designed to provide a holistic view of the customer profile, which includes the segments the customer is part of. This tab aggregates essential information about the customer, including demographic details, interaction history, and their categorization into various segments based on predefined criteria. This segmentation allows businesses to understand customer preferences and behaviors better, enabling targeted engagement strategies.

The 'Overview' tab serves as the central hub for accessing a broad spectrum of customer data, making it an invaluable tool for gaining insights and driving personalized customer experiences.

SAP Customer Data Platform user guide on navigating the customer dashboard.

Tutorials on customer segmentation and profile management within the SAP Customer Data Platform.

Answer : A, B

The SAP Customer Data Platform is distinguished by its ability to unify customer data from various sources into a single customer profile, which is a capability not typically found in CRMs or data warehouses. This unification allows for a comprehensive view of the customer and enables real-time data processing, providing insights into customer behaviors as they occur. These capabilities are essential for delivering personalized customer engagements and are a significant differentiation from other platforms that may not support real-time processing or may only handle structured data without the ability to unify it.

Reference= The information is based on the features highlighted in the SAP Customer Data Platform documents, which emphasize the importance of unifying customer data and the platform's real-time data processing capabilities12345.

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, C, D

To create a processing purpose within the SAP Customer Data Platform, the mandatory steps include:

Processing purpose definition: This is the core step where the actual purpose for processing personal data is defined.

Inbound data governance: This step ensures that the data being ingested into the system complies with the defined processing purposes.

Outbound data governance: This step ensures that the data being sent out of the system adheres to the processing purposes.

These steps are crucial for complying with regional and local regulations, such as GDPR and CCPA, and for applying privacy and trust to the data streaming into and out of the CDP.

Reference= The information is based on the SAP Customer Data Platform documentation which outlines the process of creating a new processing purpose and configuring inbound and outbound data governance to enforce data governance12.

Answer : B, D

The SAP Customer Data Platform is designed to provide a unified view of customer contacts, accounts, and relationships to unlock enriched, real-time insights. It is most applicable for understanding the ways clients interact with brands (B) and discovering how customers are using products and services (D). This platform enables businesses to capture every aspect of customer behaviors and experiences across channels, providing actionable data to downstream systems in real-time to power sales and marketing operations.

Reference= The information aligns with the insights shared in the SAP Community article on SAP Customer Data Platform for B2B Use Cases1and the SAP Learning journey on exploring SAP Customer Data Platform essentials2.