Which of the following statements describe the relationship between workspaces, tenants, and business units? Note: There are 2 correct answers to this question.
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.
You need to ingest some customer data into SAP Customer Data Platform while observing data compliance regulations.
What needs to be configured inside SAP Customer Data Platform before you can do this?
Answer : D
Before ingesting customer data into the SAP Customer Data Platform (CDP), it is essential to configure processing purposes within the system. This is a built-in mechanism that identifies the different purposes for handling customer data that streams into and out of the system. The processing of personal data is governed by regional and local regulations, such as GDPR and CCPA. The CDP ingestion process allows businesses to ensure compliance with these regulations, restrictions, and policies applicable to customer data usage. It is important to note that the CDP ingestion process does not collect, audit, or handle the actual collection of processing purposes. Instead, it allows for storing those collected purposes and applying data governance based on those purposes. In the context of CDP, the processing purpose is sent as data points in an event from a source, and multiple processing purposes may be defined per business unit. Only those processing purposes needed for managing customer data in CDP should be added.
Reference= The detailed explanation is based on information found in the SAP Help Portal, specifically within the documentation for processing purposes in the SAP Customer Data Platform1.
The search API for a single customer record does not show any segments tied to the profile, but you can see the segments in the customer dashboard. What could be the reason for this?
Answer : C
The issue described could be due to incorrect permissions for the API authorization keys. When the permissions are not set up correctly, the search API may not return segment data tied to a customer profile, even though these segments are visible in the customer dashboard. Proper configuration of API authorization keys is essential to ensure that the search API has the necessary permissions to access and return all relevant data, including customer segments.
Reference= This explanation aligns with the information provided in the SAP Customer Data Platform documentation and resources12.
What tools are supported by SAP Customer Data Platform to call external REST APIs? Note: There are 2 correct answers to this question.
Answer : B, C
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.
Reference= This information is verified using the SAP Help Portal documentation on the Generic REST API Connector1.
How can you configure SAP Customer Data Platform to ingest tracking data from your website?
Answer : D
To configure SAP Customer Data Platform to ingest tracking data from your website, you need to create a Web Client Application within the SAP Customer Data Platform. After creating the application, you will load the SDK on your website. Then, you add the report function to start sending behavioral data from your website to the SAP Customer Data Platform application. The process involves setting up an application to receive events sent from your website, preparing a list of trusted domains, and creating events with all the parameters you'll be reporting, such as page views and clicks.
Reference= This information is verified and matched with the details provided in the SAP Customer Data Platform documentation, specifically within the Integration Guide for Web Client Application1.
You are using predictive indicators to configure predictive models and view results. What types of models can you design? Note: There are 3 correct answers to this question.
Answer : 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.
You are importing birthday data into SAP Customer Data Platform. What kind of pre-processing can you apply to the birthday attribute? Note: There are 2 correct answers to this question.
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.