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SAP C_C4H63_2411 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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	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 5	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 6	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.

SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q26-Q31):

NEW QUESTION # 26
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?

A. Processing purposes
B. Customer consent
C. Customer opt-in to subscription
D. Activity indicators

Answer: A

Explanation:
Before ingesting customer data into the SAP Customer Data Platform (CDP), it is essential to configure processing purposes within the system. This is a built-in mechanism that identifies the different purposes for handling customer data that streams into and out of the system. The processing of personal data is governed by regional and local regulations, such as GDPR and CCPA. The CDP ingestion process allows businesses to ensure compliance with these regulations, restrictions, and policies applicable to customer data usage. It is important to note that the CDP ingestion process does not collect, audit, or handle the actual collection of processing purposes. Instead, it allows for storing those collected purposes and applying data governance based on those purposes. In the context of CDP, the processing purpose is sent as data points in an event from a source, and multiple processing purposes may be defined per business unit. Only those processing purposes needed for managing customer data in CDP should be added.
Reference = The detailed explanation is based on information found in the SAP Help Portal, specifically within the documentation for processing purposes in the SAP Customer Data Platform1.

NEW QUESTION # 27
You want to create a calculated indicator.
What attributes from the customer schema can you use? Note: There are 3 correct answers to this question.

A. Segments
B. Events
C. Profile
D. Activity indicators
E. Actions

Answer: B,C,D

Explanation:
When creating a calculated indicator within the SAP Customer Data Platform, you can utilize attributes from the customer schema such as Events (B), Profile , and Activity indicators (D). These attributes can be combined in a mathematical equation to create a new indicator that reflects complex calculations. For example, you can use numeric profile attributes, activity indicators, or activities from the CDP schema to calculate the new indicator, and you can also apply conditions to narrow down the customer profiles to which the calculation will be applied.
Reference = This information is supported by the SAP Help Portal documentation on creating a calculated activity indicator1 and activity indicator calculation2.
In the SAP Customer Data Platform, when creating a calculated indicator, certain attributes from the customer schema are pivotal for defining complex metrics that provide deeper insights into customer behaviors and preferences. The attributes you can use include:
B . Events: These attributes encompass various customer interactions and behaviors captured as events, such as purchases, website visits, or engagement with marketing campaigns. Events can be used to calculate indicators that reflect customer activity levels, preferences, or engagement patterns.
C . Profile: Profile attributes contain demographic and personal information about the customer, such as age, location, preferences, and more. These attributes can be used in calculated indicators to segment customers, personalize experiences, or predict customer behaviors based on their profiles.
D . Activity indicators: These are metrics or flags derived from customer activities and behaviors, such as frequency of purchases, average transaction value, or recent engagement. Using activity indicators to create calculated indicators allows for the synthesis of complex metrics that can measure customer loyalty, lifetime value, or risk of churn.
By leveraging these attributes, calculated indicators can provide multifaceted insights into customer behavior, preferences, and value, driving more informed business decisions and personalized customer experiences.
Reference:
SAP Customer Data Platform documentation on creating calculated indicators and using customer schema attributes.
Best practices for leveraging customer data attributes in the SAP Customer Data Platform for advanced analytics and segmentation.

NEW QUESTION # 28
Which metadata fields are supported by the event model? Note: There are 2 correct answers to this question.

A. Timestamp
B. Signature Verifier
C. Deduplication Identifier
D. System Source

Answer: A,C

Explanation:
The event model in the SAP Customer Data Platform supports various metadata fields to provide information about the event itself. Two of the supported metadata fields are:
Timestamp: This field is used as the original timestamp of the event occurrence. If not defined, the time of event ingestion is used instead.
Deduplication Identifier: This field is assigned for deduplication purposes to prevent the same event from being ingested more than once. If multiple events are sent with the same identifier value in this field, only the first will be ingested.
These metadata fields are crucial for ensuring the accuracy and uniqueness of event data within the platform.
Reference = The details about the supported metadata fields are found in the SAP Customer Data Platform documentation under the section "Event Metadata"1.

NEW QUESTION # 29
How can you implement a B2B data model with SAP Customer Data Platform?

A. By using a dedicated activity schema
B. By using groups and relationships
C. By using profiles
D. By using segments

Answer: B

NEW QUESTION # 30
Which of these activation methods can be used with actions?
Note: There are 2 correct answers to this question.

A. Audiences
B. CX milestones
C. CX flows
D. CX journeys

Answer: C,D

Explanation:
The SAP Customer Data Platform is designed to manage customer data across different levels of organization. A tenant represents an instance of the platform provisioned for an organization, and within this tenant, multiple workspaces can be created. These workspaces serve as separate environments for development and production purposes. Additionally, a business unit, which is a logical partition within a workspace, can also contain multiple workspaces, allowing for further segmentation and management of customer data within the same organizational unit.
Reference = This relationship is outlined in the SAP Customer Data Platform documentation available on the SAP Help Portal, which provides comprehensive information on the configuration and management of tenants, workspaces, and business units12.

NEW QUESTION # 31
......

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C_C4H63_2411 Reliable Test Testking & C_C4H63_2411 Free Download

Best C_C4H63_2411 : SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Exam Torrent Provide Three Versions for choosing

SAP C_C4H63_2411 Exam Syllabus Topics:

SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q26-Q31):

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