C_C4H63_2411 EXAM PRICE - VALID C_C4H63_2411 EXAM VOUCHER

C_C4H63_2411 Exam Price - Valid C_C4H63_2411 Exam Voucher

C_C4H63_2411 Exam Price - Valid C_C4H63_2411 Exam Voucher

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SAP C_C4H63_2411 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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 6
  • 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 7
  • 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 (Q28-Q33):

NEW QUESTION # 28
In-store purchase information from known customers is ingested from the point of sale (POS) to SAP Customer Data Platform. Which type of customer profile is recommended for this scenario?

  • A. Unified Customer Profile
  • B. Activity Profile
  • C. Contextual Profile
  • D. User Profile

Answer: A

Explanation:
The Unified Customer Profile (UCP) is the ideal choice in this scenario. Here's why:
Persistent Data: A UCP stores customer data persistently, including historical purchase records from the POS. This allows for long-term analysis of customer behavior.
Connected Identity: The UCP can link the in-store purchase data with other customer identifiers (e.g., loyalty program ID, online account), creating a comprehensive, cross-channel view of the customer.
Reference:
SAP Help Portal: Unified Customer Profile (Find the latest documentation on the SAP Help Portal) For integrating in-store purchase information from known customers coming from Point of Sale (POS) systems into the SAP Customer Data Platform, the most suitable profile type is:
D . Unified Customer Profile: This profile type consolidates data from multiple sources, including in-store purchases, into a cohesive, single view of the customer. The Unified Customer Profile encompasses various data points, such as demographic information, online and offline activities, and purchase history, providing a comprehensive understanding of the customer's interactions with the brand across different channels.
Using the Unified Customer Profile for in-store purchase information enables businesses to enrich existing customer profiles with valuable transactional data, enhancing customer insights and enabling more personalized engagement strategies.
SAP Customer Data Platform documentation on customer profiles and data integration.
Best practices for incorporating POS data into the Unified Customer Profile within the SAP Customer Data Platform.


NEW QUESTION # 29
Which of the following merge rules must be defined at attribute level? Note: There are 2 correct answers to this question.

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

Answer: A,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 # 30
Which of the following describes a business unit in SAP Customer Data Platform?

  • A. A business unit represents the part of a business responsible for maintaining ongoing business relationships with customers in a given market. A single business unit can include more than one brand.
  • B. The business unit represents the owner of the SAP Customer Data Platform tenant. Each business unit within the organization has separate SAP Customer Data Platform tenants provisioned.
  • C. The business unit is an optional informational attribute of the Console Admin user in SAP Customer Data Platform.
  • D. The business unit is a predefined optional attribute in the customer schema; it allows segmenting of B2B customers based on their business hierarchy.

Answer: A

Explanation:
In the SAP Customer Data Platform, a business unit is defined as the part of a business that is tasked with maintaining continuous business relationships with customers within a specific market. This definition implies that a business unit is not just a segment or a division, but a functional entity within the organization that directly interacts with the customer base. Furthermore, it is important to note that a single business unit can encompass multiple brands, indicating that it can operate across different product lines or service offerings under the broader corporate umbrella. Reference = This information is corroborated by the SAP Help Portal, which provides a clear definition of a business unit within the context of the SAP Customer Data Platform1.


NEW QUESTION # 31
What does the REST API enable you to do?
Note: There are 2 correct answers to this question.

  • A. Audit admin operations.
  • B. Create new business events.
  • C. Ingest new data.
  • D. Configure events.

Answer: C,D


NEW QUESTION # 32
What does the warning sign next to the attributes indicate in the Unique Identifiers section of the Customer Profile view?

  • A. It indicates that the values of those attributes are shared with other customer profiles.
  • B. It indicates that no value is set for those identifier attributes.
  • C. It indicates that there was an error updating those attributes in the last inbound event.
  • D. It indicates that the unique identifier is invalid.

Answer: A

Explanation:
In the SAP Customer Data Platform, within the Unique Identifiers section of the Customer Profile view, a warning sign next to attributes typically indicates:
B . It indicates that the values of those attributes are shared with other customer profiles. This warning is used to highlight potential issues with data uniqueness, where the supposed unique identifiers are not exclusive to a single customer profile but are instead found across multiple profiles. This situation could lead to data integrity issues, as unique identifiers are meant to distinguish each customer profile distinctly.
Addressing these warnings is crucial for maintaining the reliability of the customer data, ensuring that each profile is uniquely and accurately identified within the platform.
Reference:
SAP Customer Data Platform user documentation on managing customer profiles and understanding the significance of unique identifiers.
Best practices for data management within the SAP Customer Data Platform, with a focus on maintaining the uniqueness of customer identifiers.


NEW QUESTION # 33
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