SAP C-C4H63-2411 Questions and Answers Guarantee you Oass the Test Easily
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NEW QUESTION # 11
Which of the following describes a business unit in SAP Customer Data Platform?
- A. The business unit is a predefined optional attribute in the customer schema. It allows segmenting of B2B customers based on their business hierarchy.
- B. The business unit represents the owner of the SAP Customer Data Platform tenant. Each business unit within the organization has separate SAP Customer Data Platform tenants provisioned.
- C. A business unit represents the part of a business responsible for maintaining ongoing business relationships with customers in a given market. A single business unit can include more than one brand.
- D. A workspace can have multiple business units. The business units share customer information.
Answer: C
NEW QUESTION # 12
Which of the following triggers are supported in CX flows?
Note: There are 3 correct answers to this question.
- A. Customer or group update
- B. Event occurrence
- C. Action occurrence
- D. Segment membership
- E. Audience activated
Answer: A,B,D
NEW QUESTION # 13
How does outbound Data Governance manage the data that is sent to destination applications in SAP Customer Data Platform?
- A. By mapping event purpose nodes to the data privacy section
- B. By including the processing purpose in the action configuration for data distribution
- C. By combining static and dynamic purposes into customer profiles
- D. By storing collected processing purposes from external systems
Answer: B
NEW QUESTION # 14
Which of the following can be configured as part of the customer schema within SAP Customer Data Platform? Note: There are 2 correct answers to this question.
- A. Activity indicators
- B. Segments
- C. Profile entity
- D. Activities
Answer: C,D
Explanation:
Within the SAP Customer Data Platform, the customer schema can be configured to include various elements. Specifically, 'Activities' and 'Profile entity' are two components that can be configured as part of the customer schema. The 'Profile entity' is a collection of attributes associated with the customer's identity, which includes both predefined attributes and custom attributes that can be added as needed. On the other hand, 'Activities' refer to the actions or events associated with the customer, which can also be defined and included in the customer schema12.
Reference =
SAP Learning: Using Customer Schema1.
SAP Help Portal: Customer Schema2.
NEW QUESTION # 15
You are creating a new legacy variant business unit.
Which matching rules does SAP Customer Data Platform preconfigure for both the Contextual Profile view and the Unified Profile view? Note: There are 3 correct answers to this question.
- A. CIAM ID
- B. CRM ID
- C. Master Data ID
- D. CDC ID
- E. C4C ID
Answer: A,B,C
Explanation:
The SAP Customer Data Platform preconfigures matching rules to ensure accurate customer data matching. These rules are applied sequentially; if no match is found using the first identifier, the next identifier is tried. The predefined matching rules include:
Match Customers based on masterDataId
Match Customers based on crmId
Match Customers based on ciamId
This setup helps in identifying and matching customer data accurately for both the Contextual Profile view and the Unified Profile view.
Reference = The information is verified and matched with the details provided in the SAP Customer Data Platform documentation and learning resources12.
NEW QUESTION # 16
Which of the following are functionalities of the Event Playground? Note: There are 2 correct answers to this question.
- A. Recording results of test event runs and exporting them as a JSON
- B. Allowing input of data at each step after the test event is run to verify alternative outcomes
- C. Showing logs and errors at each step of the pipeline, in both table format and JSON
- D. Ingesting a test event with test values provided via a dedicated form
Answer: C,D
Explanation:
The Event Playground in the SAP Customer Data Platform includes functionalities that allow for the ingestion of a test event with test values provided via a dedicated form. It also shows logs and errors at each step of the pipeline, presented in both table format and JSON. This enables users to track and understand results and failures, locate data processing issues, and identify connector problems1. Reference = Event Playground | SAP Help Portal
NEW QUESTION # 17
What tools are supported by SAP Customer Data Platform to call external REST APIs?
Note: There are 2 correct answers to this question.
- A. Connector Studio
- B. Web Client Application
- C. Generic Webservice Provider
- D. Application integration
Answer: A,B
NEW QUESTION # 18
Which of the following are valid data processing reasons when creating processing purposes? Note: There are 3 correct answers to this question.
- A. Contract
- B. Consent
- C. Data ingestion
- D. Legal obligation
- E. Legal interest
Answer: A,B,D
Explanation:
The SAP Customer Data Platform identifies several valid reasons for processing data when creating processing purposes. These include:
Consent: Processing based on the data subject's consent, typically obtained through agreements like terms of service or privacy policies.
Contract: Processing required to fulfill a contract, such as using a customer's address for product delivery.
Legal obligation: Processing necessary to comply with legal requirements.
These reasons ensure that personal data handling within the platform adheres to applicable laws and regulations, such as GDPR and CCPA, and aligns with the principles of data governance enforced by the platform.
Reference = This information is supported by the SAP Help Portal documentation on processing purposes within the SAP Customer Data Platform, which outlines the use cases and core concepts related to data governance enforcement1.
NEW QUESTION # 19
You want to implement family customer accounts in SAP Customer Data Platform. What is the best way to do this?
- A. By using segments
- B. By using groups and relationships
- C. By using a dedicated activity schema
- D. By using custom profile attributes
Answer: B
Explanation:
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.
NEW QUESTION # 20
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.
- A. Predict churn probabilities for groups
- B. Predict events for groups
- C. Predict customer lifetime value for profiles
- D. Predict actions for groups
- E. Predict chum probabilities for profiles
Answer: A,C,E
Explanation:
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.
NEW QUESTION # 21
You want to create a calculated indicator.
What attributes from the customer schema can you use? Note: There are 3 correct answers to this question.
- A. Actions
- B. Events
- C. Profile
- D. Segments
- E. Activity indicators
Answer: B,C,E
Explanation:
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.
Reference = 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.
Reference:
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.
NEW QUESTION # 22
You want to provide user access to the SAP Customer Data Platform console using the administration features in the console. How can you do this? Note: There are 2 correct answers to this question.
- A. By calling an Admin User REST API
- B. By supplying the correct OIDC Provider configuration
- C. By providing the correct Universe SAML Login configuration
- D. By using the Admin Users functionality
Answer: C,D
Explanation:
To provide user access to the SAP Customer Data Platform console, administrators can utilize the Universe SAML Login configuration for secure authentication via SAML Identity Provider (IdP). Additionally, the Admin Users functionality in the console allows for the management of user roles and permissions, enabling the assignment of specific access rights to users within the platform. Reference = User Administration | SAP Help Portal, SAP Customer Data Platform | SAP Help Portal
NEW QUESTION # 23
What are some valid use cases for audience activation? Note: There are 3 correct answers to this question.
- A. Update customer loyalty level in a loyalty system.
- B. Import customer contacts from CRM systems.
- C. Merge incoming customer data from ERP back end.
- D. Run marketing campaigns on social media platforms.
- E. Run targeted email campaigns based on customer activities and preferences.
Answer: A,D,E
Explanation:
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.
Reference = 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.
NEW QUESTION # 24
There are four key stages or steps overarching the SAP Customer Data Platform.
Besides Data Ingestion, what are the other three stages or steps?
Note: There are 3 correct answers to this question.
- A. Data Insights
- B. Engagement
- C. Optimization
- D. Identity Resolution
- E. Transformation
Answer: A,B,D
NEW QUESTION # 25
In-store purchase information from known customers is ingested from the point of sale (POS) to SAP Customer Data Platform. Which type of customer profile is recommended for this scenario?
- A. Activity Profile
- B. Unified Customer Profile
- C. User Profile
- D. Contextual Profile
Answer: B
Explanation:
The Unified Customer Profile (UCP) is the ideal choice in this scenario. Here's why:
Persistent Data: A UCP stores customer data persistently, including historical purchase records from the POS. This allows for long-term analysis of customer behavior.
Connected Identity: The UCP can link the in-store purchase data with other customer identifiers (e.g., loyalty program ID, online account), creating a comprehensive, cross-channel view of the customer.
Reference:
SAP Help Portal: Unified Customer Profile (Find the latest documentation on the SAP Help Portal) For integrating in-store purchase information from known customers coming from Point of Sale (POS) systems into the SAP Customer Data Platform, the most suitable profile type is:
D . Unified Customer Profile: This profile type consolidates data from multiple sources, including in-store purchases, into a cohesive, single view of the customer. The Unified Customer Profile encompasses various data points, such as demographic information, online and offline activities, and purchase history, providing a comprehensive understanding of the customer's interactions with the brand across different channels.
Using the Unified Customer Profile for in-store purchase information enables businesses to enrich existing customer profiles with valuable transactional data, enhancing customer insights and enabling more personalized engagement strategies.
SAP Customer Data Platform documentation on customer profiles and data integration.
Best practices for incorporating POS data into the Unified Customer Profile within the SAP Customer Data Platform.
NEW QUESTION # 26
Which features of SAP Customer Data Platform can be used to perform verification and transformation of ingested data? Note: There are 3 correct answers to this question.
- A. Transformer
- B. Scripting
- C. Extensions
- D. Normalization
- E. Validation
Answer: B,D,E
Explanation:
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.
Reference:
SAP Customer Data Platform documentation on data management capabilities.
Best practices for data validation, scripting, and normalization in the SAP Customer Data Platform.
NEW QUESTION # 27
Which functionalities are always used when ingesting customer data into SAP Customer Data Platform? Note: There are 2 correct answers to this question.
- A. Audiences
- B. Events
- C. Segments
- D. Source applications
Answer: B,D
Explanation:
The SAP Customer Data Platform ingests data from various source applications to build a coherent view of the customers. It defines a customer schema to create a common data model for all incoming customer data. Events are also a part of the data ingestion process, as they represent the actions taken by customers and are crucial for creating a complete customer profile. Reference = SAP Customer Data Platform | SAP Help Portal, How does SAP Customer Data Platform do it? - SAP Learning
NEW QUESTION # 28
Which query syntax is correct when searching for users in SAP Customer Data Platform?
- A. select * from contextualProfile where primaryEmail = '[email protected]'
- B. select * from profile where attribute.primaryEmail = '[email protected]'
- C. Select * from accounts where profile. primaryEmail = '[email protected]'
- D. select * from profile where profile.email = '[email protected]'
Answer: D
Explanation:
When searching for users in the SAP Customer Data Platform, the correct query syntax to use would be:
B . select * from profile where profile.email = '[email protected]' This syntax is designed to query the customer profiles based on a specific email address, where profile.email refers to the email attribute within the customer profiles. This query retrieves all profiles where the email address matches the specified value.
Using this syntax ensures that the query is correctly formatted and targeted, allowing for efficient retrieval of customer information based on specific attributes within the platform.
Reference:
SAP Customer Data Platform documentation on query syntax and searching for customer profiles.
Technical guides and reference materials on constructing and executing queries within the SAP Customer Data Platform.
NEW QUESTION # 29
How can you delete a profile from SAP Customer Data Platform?
- A. Make an HTTP Delete REST API call to SAP Customer Data Platform with the customer ID of the Unified Customer Profile view.
- B. In the console, with System Administrator permissions, go to Administration, select the Unified Customer Profile view, and click Delete.
- C. Make an HTTP REST API call with delete query to SAP Customer Data Platform passing the customer I
- D. In the console, look up the profile in the Unified Customer Profile view, then create a ticket in SAP for Me to delete the profile.
Answer: A,C
NEW QUESTION # 30
On which level of a B2B data model should a role (for example, Sales Manager or CEO) of a B2B customer be stored?
- A. Group
- B. Relationship
- C. Customer Profile
- D. Segment
Answer: B
NEW QUESTION # 31
What does the Activities tab in the customer dashboard show to the user?
Note: There are 2 correct answers to this question.
- A. The customer's calculated indicators
- B. An activity timeline showing the customer's past activities
- C. A customer engagement chart showing the times of day and days of the week the customer is most active
- D. The amount spent in the customer's last order
Answer: B
NEW QUESTION # 32
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