C_C4H63_2411 VALID TEST COST - C_C4H63_2411 NEW GUIDE FILES

C_C4H63_2411 Valid Test Cost - C_C4H63_2411 New Guide Files

C_C4H63_2411 Valid Test Cost - C_C4H63_2411 New Guide Files

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SAP C_C4H63_2411 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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.

SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q58-Q63):

NEW QUESTION # 58
What would you use activity indicators as building blocks for? Note: There are 3 correct answers to this question.

  • A. CX flows
  • B. Extensions
  • C. Activities
  • D. Audience building
  • E. CX journey milestone entries

Answer: A,D,E

Explanation:
Activity indicators within the SAP Customer Data Platform are calculated metrics that measure the performance of various business areas based on customer activities. They serve as foundational components for constructing Customer Experience (CX) flows, building audiences for targeted marketing, and marking entries in CX journey milestones. These indicators are recalculated whenever relevant customer activity is ingested, allowing for dynamic segmentation and triggering of CX flows or journey milestones based on customer behavior.
Reference = This information is corroborated by the SAP Help Portal documentation on Activity Indicators, which outlines their role in gauging business performance and their application in CX flows, audience building, and CX journey milestones1.


NEW QUESTION # 59
You are importing orders into SAP Customer Data Platform. What is the recommended type of schema to model it?

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

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 # 60
Which tab in the customer dashboard shows the segments of the customer profile?

  • A. Overview
  • B. Trust
  • C. Activities
  • D. Details

Answer: A

Explanation:
In the SAP Customer Data Platform, the customer dashboard provides a comprehensive view of individual customer profiles, including their attributes, behaviors, and interactions with the brand. To view the segments a customer profile belongs to:
B . Overview: The "Overview" tab in the customer dashboard is designed to provide a holistic view of the customer profile, which includes the segments the customer is part of. This tab aggregates essential information about the customer, including demographic details, interaction history, and their categorization into various segments based on predefined criteria. This segmentation allows businesses to understand customer preferences and behaviors better, enabling targeted engagement strategies.
The "Overview" tab serves as the central hub for accessing a broad spectrum of customer data, making it an invaluable tool for gaining insights and driving personalized customer experiences.
Reference:
SAP Customer Data Platform user guide on navigating the customer dashboard.
Tutorials on customer segmentation and profile management within the SAP Customer Data Platform.


NEW QUESTION # 61
What options are available to pass the processing purpose for inbound data in SAP Customer Data Platform? Note: There are 2 correct answers to this question.

  • A. Consent
  • B. Static
  • C. Profile
  • D. Dynamic

Answer: B,D


NEW QUESTION # 62
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. Normalization
  • B. Scripting
  • C. Extensions
  • D. Transformer
  • E. Validation

Answer: A,B,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 # 63
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