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SAP C_C4H63_2411 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 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.

Topic 5

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 6

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 7

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.

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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q56-Q61):

NEW QUESTION # 56
You are importing orders into SAP Customer Data Platform. What is the recommended type of schema to model it?

A. Event
B. Profile
C. Activity
D. Account

Answer: C

Explanation:
The recommended schema for modeling orders when importing them into the SAP Customer Data Platform is the Activity schema. This schema is designed to contain all potential customer activities, which include orders, service calls, service requests, marketing campaigns, registration, subscription, and more. The 'Orders' activity is specifically preconfigured in the Activities schema, and it is made up of nodes that hold activity data such as order ID, currency description, order amount, and tax amount1.
Reference = The information is based on the SAP Customer Data Platform documentation, particularly the section on the Activity Schema found in the SAP Help Portal1.

NEW QUESTION # 57
How would you ingest data from the database published with the JDBC interface?

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

Answer: B

NEW QUESTION # 58
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. Validation
B. Normalization
C. Verification
D. Optimization

Answer: A,B

Explanation:
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.

NEW QUESTION # 59
You need to ingest some customer data into SAP Customer Data Platform while observing data compliance regulations.
What needs to be configured inside SAP Customer Data Platform before you can do this?
Note: There are 2 correct answers to this question.

A. Processing purposes
B. Processing reason
C. Customer opt-in
D. Customer consent

Answer: A,D

NEW QUESTION # 60
Which of the following statements describe merge rule functionality?
Note: There are 2 correct answers to this question.

A. If a data conflict occurs, you can decide if a new customer profile is created or the event data is discarded.
B. Merge rules can be applied to non-identifier fields.
C. In the Unified Customer Profile, you can decide if more than one value is saved for an attribute.
D. Merge rules can only be used with the Unified Customer Profile type.

Answer: A,C

NEW QUESTION # 61
......

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