Free Practice Questions for SAP C_C4H630_34 Exam

First-party customer data refers to the information that is collected directly from customers by the company itself. This includes data gathered through interactions with the company’s own channels, such as websites, mobile apps, customer service interactions, and in-store visits. The SAP Customer Data Platform enables businesses to connect various types of customer data to deliver personalized experiences, and first-party data is crucial for creating a comprehensive view of the customer1. References = The explanation aligns with the functionalities and use cases of the SAP Customer Data Platform as described in the official SAP Help Portal1.

When creating a calculated indicator within the SAP Customer Data Platform, you can utilize attributes from the customer schema such as Events (B), Profile ©, and Activity indicators (D). These attributes can be combined in a mathematical equation to create a new indicator that reflects complex calculations. For example, you can use numeric profile attributes, activity indicators, or activities from the CDP schema to calculate the new indicator, and you can also apply conditions to narrow down the customer profiles to which the calculation will be applied.

References = This information is supported by the SAP Help Portal documentation on creating a calculated activity indicator1 and activity indicator calculation2.

In the SAP Customer Data Platform, when creating a calculated indicator, certain attributes from the customer schema are pivotal for defining complex metrics that provide deeper insights into customer behaviors and preferences. The attributes you can use include:

B. Events:These attributes encompass various customer interactions and behaviors captured as events, such as purchases, website visits, or engagement with marketing campaigns. Events can be used to calculate indicators that reflect customer activity levels, preferences, or engagement patterns.

C. Profile:Profile attributes contain demographic and personal information about the customer, such as age, location, preferences, and more. These attributes can be used in calculated indicators to segment customers, personalize experiences, or predict customer behaviors based on their profiles.

D. Activity indicators:These are metrics or flags derived from customer activities and behaviors, such as frequency of purchases, average transaction value, or recent engagement. Using activity indicators to create calculated indicators allows for the synthesis of complex metrics that can measure customer loyalty, lifetime value, or risk of churn.

By leveraging these attributes, calculated indicators can provide multifaceted insights into customer behavior, preferences, and value, driving more informed business decisions and personalized customer experiences.

References:

SAP Customer Data Platform documentation on creating calculated indicators and using customer schema attributes.

Best practices for leveraging customer data attributes in the SAP Customer Data Platform for advanced analytics and segmentation.

 In the context of SAP Customer Data Platform, a CX flow is designed using logic blocks that may include triggers, actions, decisions, and flow controls. Triggers are the entry points or conditions that set the context of the CX flow experience. Decisions split a CX flow based on a simple Yes-No logic so that different paths can be created within the CX flow. Flow controls help set the beginning, end, duration, and frequency of communication with a customer on their journey. References = The information is verified from the SAP Learning Journeys and SAP Help Portal, which detail the components of a CX flow, including triggers, actions, decisions, and flow controls12.

 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. References = SAP Help Portal on Cloud Storage Applications, SAP Help Portal on AWS S3

 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.

References = 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.

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 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.

References = This explanation aligns with the information provided in the SAP Customer Data Platform documentation and resources12.

In the SAP Customer Data Platform, to create an audience, the following entities and attributes can be utilized:

Unified Customer Profile: This entity provides a consolidated view of customer data from various sources.

Contextual Profile: This entity represents a real-time snapshot of customer interactions and behaviors.

Activity Attributes: These attributes are related to customer actions and behaviors that are tracked by the platform.

These entities and attributes are essential for grouping customers into audiences, which can then be targeted in marketing campaigns. The audience configurations within the SAP Customer Data Platform include customer profile or group entity attributes, activities, activity indicators, and segments, all of which contribute to the creation of a comprehensive audience for marketing purposes12.

References = The information provided is aligned with the SAP Customer Data Platform documentation and learning resources, specifically the sections on creating audiences and the entities and attributes involved in this process12.

 Valid use cases for audience activation within the SAP Customer Data Platform include:

Running marketing campaigns on social media platforms: Marketers can activate audiences to export data into external applications like social media platforms to run marketing campaigns1.

Running targeted email campaigns based on customer activities and preferences: Audiences can be used to run targeted email campaigns that are based on customer actions and choices1.

Updating customer loyalty level in a loyalty system: While not explicitly stated in the provided resources, updating customer loyalty levels is a common use case for audience activation, as it involves using customer data to personalize and improve customer experience.

References = The use cases are supported by the SAP Customer Data Platform’s learning resources, which detail the process of creating audiences and the purposes for which they can be activated12.

For a customer to be included in an audience within the SAP Customer Data Platform, it is essential that they have an active processing purpose, such as “Marketing consent”. This processing purpose is a prerequisite for adding customers as audience members, ensuring that data governance and customer consent are respected.

References = The information is derived from the SAP Help Portal documentation on Audiences, which emphasizes the importance of having an active processing purpose for customers to be part of an audience1.