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Questions and Answers for the C_C4H63_2411 Exam, Authentic 2025

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SAP C_C4H63_2411 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

SAP Customer Data Platform: SAP Customer Data Solutions Consultants are expected to demonstrate comprehensive knowledge of the SAP Customer Data Platform. This domain covers the platform's core functionalities, including data collection, unification, and activation.

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

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 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.

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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q72-Q77):

NEW QUESTION # 72
Which of the following API types does SAP recommend to use to achieve clean core integrations? Note: There are 2 correct answers to this question.

A. RFC
B. IDoc
C. OData
D. SOAP

Answer: B,C

NEW QUESTION # 73
For an incoming event, what value can SAP Customer Data Platform store for an active processing purpose status field?

A. Allowed
B. Permitted
C. True
D. Granted

Answer: A

NEW QUESTION # 74
What options are available to pass the processing purpose for inbound data in SAP Customer Data Platform? Note: There are 2 correct answers to this question.

A. Consent
B. Dynamic
C. Static
D. Profile

Answer: B,C

NEW QUESTION # 75
What can you do with the Audit Search API?

A. GetAllSearches
B. Query All Customers
C. Query Single Activity
D. SubmitWsConfiguration

Answer: C

Explanation:
The Audit Search API in the SAP Customer Data Platform offers functionalities centered around auditing and oversight of platform activities. One of the capabilities of this API is:
B . Query Single Activity: This function allows users to retrieve detailed information about specific activities or actions taken within the platform. This can include user interactions, data processing operations, or system events. The ability to query single activities is crucial for compliance, monitoring, and troubleshooting purposes, enabling administrators to track and audit individual actions for security, compliance, and operational insights.
The Audit Search API's ability to delve into specific activities helps maintain transparency and accountability within the platform, supporting robust governance and compliance strategies.
Reference:
SAP Customer Data Platform API documentation, specifically focusing on audit and search functionalities.
Technical guides on utilizing the Audit Search API for monitoring and compliance purposes within the SAP Customer Data Platform.

NEW QUESTION # 76
Which of the following merge rules must be defined at attribute level? Note: There are 2 correct answers to this question.

A. Decide what to do if a data conflict occurs for an identifier attribute
B. Decide whether to override existing data, based on the quality of the incoming and existing data
C. Decide whether to concatenate the incoming value with the existing value of the same attribute
D. Decide whether more than one value can be saved for an attribute

Answer: B,C

Explanation:
In the SAP Customer Data Platform, merge rules at the attribute level are essential for managing how incoming data is integrated with existing data. For an attribute, you can define whether to concatenate the incoming value with the existing value, which is crucial when you want to preserve all historical data points for a particular attribute. Additionally, you can set rules to decide whether to override existing data with incoming data based on their respective data quality. This ensures that the most accurate and up-to-date information is retained in the customer profile. Reference = Configure Merge Rules Based on Data Quality | SAP Help Portal, Merge Rules | SAP Help Portal In the context of the SAP Customer Data Platform, defining merge rules at the attribute level is crucial for managing how incoming data is integrated with existing customer profiles. Two significant rules that must be specified at this level include:
A . Decide whether to concatenate the incoming value with the existing value of the same attribute: This rule determines how to handle scenarios where an incoming data value for a specific attribute should be added to the existing value(s) for that attribute in the profile, rather than replacing it. Concatenation can be useful for attributes where maintaining a history or collection of values is important, such as addresses or phone numbers.
D . Decide whether to override existing data, based on the quality of the incoming and existing data: This rule involves assessing the quality or reliability of incoming data compared to what is already present in the customer profile and deciding whether the new data should replace the old. This could be based on factors like data source credibility, recency, or completeness, ensuring that the customer profile remains as accurate and up-to-date as possible.
These rules are integral to maintaining the integrity and usefulness of customer data within the platform, ensuring that data merging and updating processes are carried out in a way that enhances the quality of the customer profiles.

NEW QUESTION # 77
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