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SAP C_C4H63_2411 Exam Syllabus Topics:
Topic
Details
Topic 1
- Data Privacy: This section focuses on data privacy considerations in customer data management. SAP Customer Data Solutions Consultants should be well-versed in data protection regulations and privacy-enhancing technologies. The exam may evaluate the ability to implement privacy-compliant data handling processes and ensure adherence to relevant laws and standards.
Topic 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.
Topic 3
- 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.
Topic 4
- 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.
Topic 5
- 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.
Topic 6
- 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.
Topic 7
- 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.
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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q36-Q41):
NEW QUESTION # 36
What base URL must be used when making REST calls to SAP Customer Data Platform?
- A. https://accounts.<DATA_CENTER>.gigya.com
- B. https://cdp.<DATA_CENTER>.gigya.com/
- C. https://cdp.<DATA_CENTER>.sap.com
- D. https://sap-cdp.<DATA_CENTER>.gigya.com
Answer: C
NEW QUESTION # 37
How many segments are allowed per business unit?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
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.
Reference = The information regarding the segment limit is found in the SAP Help Portal documentation under the section for Segments1.
NEW QUESTION # 38
You want to authenticate requests to event listeners created by the source server application.
How can you do this?
Note: There are 2 correct answers to this question.
- A. Pass the SSL certificate of the client.
- B. Pass a constructed JWT as the bearer token.
- C. Pass the one-time password generated by the REST API endpoint.
- D. Pass the user key and secret key as parameters.
Answer: A,C
NEW QUESTION # 39
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. Validation
- C. Scripting
- D. Normalization
- E. Extensions
Answer: B,C,D
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 # 40
You want to implement family customer accounts in SAP Customer Data Platform. What is the best way to do this?
- A. By using custom profile attributes
- B. By using groups and relationships
- C. By using a dedicated activity schema
- D. By using segments
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 # 41
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