Which statements describe preconfigured matching rules? Note: There are 2 correct answers to this question.
Correct 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. Reference: 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.
Question 17
What type of endpoint connector can be created in the Connector Studio?
Correct Answer: C
The Connector Studio within the SAP Customer Data Platform is designed as a low-code/no-code solution that enables the creation of integrations with any REST platform or application. It allows users to create templates for a given REST API application, which can then be instantiated in the Application Library and polled at the required frequency. The Connector Studio supports the creation of both inbound events and outbound actions specifically for REST applications in JSON format12. Reference = The information is confirmed by the SAP Help Portal documentation on the Connector Studio12.
Question 18
What kinds of prediction can you select for a predictive indicator? Note: There are 2 correct answers to this question.
Correct 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 for Customer lifetime value (CLV) and Customer 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.
Question 19
What does the customer profile overview tile display?
Correct Answer: B
Question 20
When an action is triggered via a CX flow, the outbound data is checked by the system to see whether it passes the validation. What happens if it doesn't pass the validation?
Correct Answer: 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.
