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SAP C_C4H63_2411 Prüfungsplan:

Thema	Einzelheiten
Thema 1	APIs: This section focuses on the use of APIs in the context of SAP Customer Data Solutions. It assesses the consultant's understanding of how to integrate and leverage APIs for data exchange and system interoperability.
Thema 2	Identity Resolution: Identity resolution is a crucial aspect of customer data management, and this section evaluates the consultant's proficiency in this area. It covers techniques and tools used to identify and link customer data across different sources and touchpoints.
Thema 3	Implementing B2B: In this final section, the main focus is on implementing SAP Customer Data Solutions in business-to-business (B2B) contexts. SAP Customer Data Solutions Consultants should understand the unique challenges and requirements of B2B customer data management.
Thema 4	Data Ingestion: Data ingestion is a core component of customer data platforms, and assesses the consultant's expertise in this area. It covers various methods and tools for importing data from multiple sources into the SAP Customer Data Platform.
Thema 5	Data Activation: This module of the exam, focuses on the activation of customer data for various business purposes. SAP Customer Data Solutions Consultants should understand how to leverage unified customer profiles for marketing, sales, and service activities.
Thema 6	Insights: The Insights section of the exam evaluates the consultant's ability to extract meaningful insights from customer data. It covers analytics capabilities within the SAP Customer Data Platform and how to use them effectively. Candidates should be able to create and interpret various types of reports and dashboards.
Thema 7	Managing Clean Core: This section of the exam measures the skills of SAP Customer Data Solutions Consultants and covers the management of Clean Core in SAP systems. It comprises understanding the principles of maintaining a clean core, which involves keeping the central system free from custom modifications. The exam may assess the ability to implement clean core strategies effectively while ensuring system integrity and performance.

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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform C_C4H63_2411 Prüfungsfragen mit Lösungen (Q16-Q21):

16. Frage
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.

A. Verification
B. Optimization
C. Normalization
D. Validation

Antwort: C,D

Begründung:
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.

17. Frage
Which of the following triggers are supported in CX flows? Note: There are 3 correct answers to this question.

A. Action occurrence
B. Event occurrence
C. Customer or group update
D. Segment membership
E. Audience activated

Antwort: B,C,D

Begründung:
Within the SAP Customer Data Platform, CX flows are designed to be triggered by specific events that signify a change or an action related to a customer or group. The supported triggers for CX flows include:
Event occurrence: This trigger is activated when a specific event is ingested into the platform, indicating an action or change has occurred.
Customer or group update: This trigger responds to any updates made to customer or group attributes within the platform.
Segment membership: This trigger is based on the inclusion or exclusion of a customer or group within a particular segment, reflecting their changing status or behavior.
These triggers enable the SAP Customer Data Platform to react in real-time to changes in customer data, allowing businesses to deliver personalized experiences at crucial moments in the customer journey.
Reference = The details provided here are consistent with the information available in the SAP Customer Data Platform documentation, which outlines the various triggers that can initiate CX flows123.

18. Frage
Which of the following can be used as audience conditions?
Note: There are 3 correct answers to this question.

A. Profile attribute
B. Indicator
C. Segment
D. Action
E. Event

Antwort: A,B,C

19. Frage
How would you ingest data from the database published with the JDBC interface?

A. Create a custom JDBC connector in the Connector Studio.
B. Create an iFlow in SAP Integration Suite and then use a custom connector to connect via the iFlow.
C. Connect to the database using a built-in ODBC connector.
D. Connect to the database using the built-in JDBC connector.

Antwort: B

Begründung:
To ingest data from a database that provides a JDBC (Java Database Connectivity) interface, leveraging the capabilities of the SAP Integration Suite can be an effective approach:
A . Create an iFlow in SAP Integration Suite and then use a custom connector to connect via the iFlow: SAP Integration Suite, particularly its Cloud Integration capability, allows for the creation of integration flows (iFlows) that facilitate the connection and data exchange between various systems and applications. By creating an iFlow, one can design a custom integration scenario that includes connecting to a JDBC-enabled database. This approach may involve utilizing a custom connector or adapter within the iFlow to establish the JDBC connection, thereby enabling the ingestion of data into the SAP Customer Data Platform or other SAP systems.
This method provides the flexibility and power of SAP Integration Suite's integration tools, allowing for tailored data ingestion workflows that meet specific requirements, including those involving JDBC databases.
Reference:
SAP Integration Suite documentation on creating iFlows and custom connectors.
Tutorials and guides on integrating JDBC databases with SAP systems using SAP Integration Suite.

20. Frage
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. Activity indicators
C. Profile
D. Segments
E. Events

Antwort: B,C,E

Begründung:
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.

21. Frage
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C_C4H63_2411 Deutsche Prüfungsfragen: https://www.it-pruefung.com/C_C4H63_2411.html

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C_C4H63_2411 Schulungsangebot - C_C4H63_2411 Simulationsfragen & C_C4H63_2411 kostenlos downloden

SAP C_C4H63_2411 Prüfungsplan:

C_C4H63_2411 Deutsche Prüfungsfragen & C_C4H63_2411 Fragenpool

SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform C_C4H63_2411 Prüfungsfragen mit Lösungen (Q16-Q21):

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