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SAP C-C4H63-2411 Exam Syllabus Topics:

Topic	Details
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	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	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 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.

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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q70-Q75):

NEW QUESTION # 70
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. Legal interest
C. Consent
D. Data ingestion
E. Legal obligation

Answer: A,B,C

NEW QUESTION # 71
How can data be ingested into SAP Customer Data Platform?
Note: There are 2 correct answers to this question.

A. By pulling a CSV/JSON file directly from storage applications
B. Using the source application
C. Uploading a CSV/JSON file in the console
D. Using the Ingestion API

Answer: C,D

NEW QUESTION # 72
What are two key capabilities that differentiate customer data platforms (CDP) from data management platforms (DMP)?
Note: There are 2 correct answers to this question.

A. Unified customer data
B. Persistent
C. Real-time capability
D. Open access

Answer: A,C

NEW QUESTION # 73
Which statements describe preconfigured matching rules? Note: There are 2 correct answers to this question.

A. The Unified Customer Profile rules can be edited and re-ordered, but not deleted.
B. The Unified Customer Profile rules can be edited, re-ordered, and deleted.
C. The Contextual Profile rules cannot be edited, but can be re-ordered.
D. The Contextual Profile rules cannot be edited or re-ordered.

Answer: A,B

Explanation:
In the context of the SAP Customer Data Platform, matching rules are critical for accurately merging and linking customer data from various sources. Regarding preconfigured matching rules:
B . The Unified Customer Profile rules can be edited and re-ordered, but not deleted. This flexibility allows organizations to tailor the matching logic to their specific needs and priorities while maintaining a core set of rules that ensure consistent and reliable matching across customer data sets.
C . The Unified Customer Profile rules can be edited, re-ordered, and deleted. In some configurations, it's possible to have full control over these rules, including the ability to delete them if they are no longer relevant or if better matching criteria have been established. This level of control supports dynamic and evolving data management strategies, allowing businesses to adapt their matching logic as their understanding of their customer data deepens or as their business requirements change.
These options underscore the platform's flexibility in managing customer data, enabling organizations to fine-tune how individual customer records are identified, merged, and maintained over time.
Reference:
SAP Customer Data Platform documentation on data matching and merging capabilities.
Best practices for configuring matching rules in the Unified Customer Profile within the SAP Customer Data Platform.

NEW QUESTION # 74
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. Validation
B. Extensions
C. Transformer
D. Normalization
E. Scripting

Answer: A,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 # 75
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