VALID C-C4H63-2411 TEST REGISTRATION & C-C4H63-2411 STUDY GUIDE PDF

Valid C-C4H63-2411 Test Registration & C-C4H63-2411 Study Guide Pdf

Valid C-C4H63-2411 Test Registration & C-C4H63-2411 Study Guide Pdf

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SAP C-C4H63-2411 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 4
  • 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 5
  • 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 6
  • 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.

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2025 Valid C-C4H63-2411 Test Registration: SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform – Realistic C-C4H63-2411 Study Guide Pdf

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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q13-Q18):

NEW QUESTION # 13
What type of endpoint connector can be created in the Connector Studio?

  • A. JDBC
  • B. RPC
  • C. ODBC
  • D. REST

Answer: D

Explanation:
The Connector Studio within the SAP Customer Data Platform is designed as a low-code/no-code solution that enables the creation of integrations with any REST platform or application. It allows users to create templates for a given REST API application, which can then be instantiated in the Application Library and polled at the required frequency. The Connector Studio supports the creation of both inbound events and outbound actions specifically for REST applications in JSON format12.
Reference = The information is confirmed by the SAP Help Portal documentation on the Connector Studio12.


NEW QUESTION # 14
How can you delete a profile from SAP Customer Data Platform?

  • A. Make an HTTP REST API call with delete query to SAP Customer Data Platform passing the customer I
  • B. 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.
  • C. In the console, with System Administrator permissions, go to Administration, select the Unified Customer Profile view, and click Delete.
  • D. Make an HTTP Delete REST API call to SAP Customer Data Platform with the customer ID of the Unified Customer Profile view.

Answer: A,D


NEW QUESTION # 15
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 concatenate the incoming value with the existing value of the same attribute
  • C. Decide whether more than one value can be saved for an attribute
  • D. Decide whether to override existing data, based on the quality of the incoming and existing data

Answer: B,D

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 # 16
Which of the following statements describe the relationship between workspaces, tenants, and business units? Note: There are 2 correct answers to this question.

  • A. A business unit can contain multiple workspaces.
  • B. A tenant can contain multiple workspaces.
  • C. A workspace can contain multiple tenants.
  • D. A workspace can contain multiple business units.

Answer: A,B


NEW QUESTION # 17
Which steps are mandatory to create a processing purpose? Note: There are 3 correct answers to this question.

  • A. Outbound data governance
  • B. Matching rules
  • C. Data retention
  • D. Processing purpose definition
  • E. Inbound data governance

Answer: A,D,E

Explanation:
To create a processing purpose within the SAP Customer Data Platform, the mandatory steps include:
Processing purpose definition: This is the core step where the actual purpose for processing personal data is defined.
Inbound data governance: This step ensures that the data being ingested into the system complies with the defined processing purposes.
Outbound data governance: This step ensures that the data being sent out of the system adheres to the processing purposes.
These steps are crucial for complying with regional and local regulations, such as GDPR and CCPA, and for applying privacy and trust to the data streaming into and out of the CDP.
Reference = The information is based on the SAP Customer Data Platform documentation which outlines the process of creating a new processing purpose and configuring inbound and outbound data governance to enforce data governance12.


NEW QUESTION # 18
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