[2025年02月]更新のSAP C_C4H63_2411試験基本問題には解答が付きます
2025年最新の実際に出るSAP C_C4H63_2411試験問題集と解答
質問 # 34
Which tab in the customer dashboard shows the segments of the customer profile?
- A. Activities
- B. Details
- C. Trust
- D. Overview
正解：D
解説：
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.
質問 # 35
The customer schema of a group includes two predefined attributes that can be used for B2B scenarios.
Which of the following attributes are the two predefined ones?
Note: There are 2 correct answers to this question.
- A. AccountName
- B. Accountid
- C. BusinessName
- D. BusinessId
正解：B、C
質問 # 36
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. Scripting
- B. Normalization
- C. Validation
- D. Transformer
- E. Extensions
正解：A、B、C
解説：
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.
質問 # 37
What would you use activity indicators as building blocks for? Note: There are 3 correct answers to this question.
- A. CX flows
- B. Activities
- C. CX journey milestone entries
- D. Audience building
- E. Extensions
正解：A、C、D
解説：
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.
質問 # 38
You are a consultant on an SAP S/4HANA Cloud greenfield project.
Which of the following aspects should you focus on to achieve and maintain clean core data quality? Note: There are 2 correct answers to this question.
- A. Stability
- B. Accuracy
- C. Efficiency
- D. Timeliness
正解：B、D
質問 # 39
Which of the following API types does SAP recommend to use to achieve clean core integrations? Note: There are 2 correct answers to this question.
- A. SOAP
- B. IDoc
- C. OData
- D. RFC
正解：B、C
質問 # 40
Which of the following are entities and attributes that can be used to create an audience?
Note: There are 3 correct answers to this question.
- A. Unified customer profile
- B. Contextual profile
- C. Trigger attributes
- D. Activity attributes
- E. Action attributes
正解：C、E
質問 # 41
Which of the following is an example of first-party customer data?
- A. Customer data collected from public sources
- B. Customer data collected directly from consumers
- C. Customer data imported from another company
- D. Customer data from a purchase intention
正解：B
解説：
First-party customer data refers to the information that is collected directly from customers by the company itself. This includes data gathered through interactions with the company's own channels, such as websites, mobile apps, customer service interactions, and in-store visits. The SAP Customer Data Platform enables businesses to connect various types of customer data to deliver personalized experiences, and first-party data is crucial for creating a comprehensive view of the customer1. Reference = The explanation aligns with the functionalities and use cases of the SAP Customer Data Platform as described in the official SAP Help Portal1.
質問 # 42
What do you need to configure to send data from SAP Customer Data Platform to a target system?
- A. REST APIS
- B. Actions
- C. Matching rules
- D. Extensions
正解：A
質問 # 43
Which of the following can be configured as part of the customer schema within SAP Customer Data Platform? Note: There are 2 correct answers to this question.
- A. Activity indicators
- B. Profile entity
- C. Activities
- D. Segments
正解：B、C
解説：
Within the SAP Customer Data Platform, the customer schema can be configured to include various elements. Specifically, 'Activities' and 'Profile entity' are two components that can be configured as part of the customer schema. The 'Profile entity' is a collection of attributes associated with the customer's identity, which includes both predefined attributes and custom attributes that can be added as needed. On the other hand, 'Activities' refer to the actions or events associated with the customer, which can also be defined and included in the customer schema12.
Reference =
SAP Learning: Using Customer Schema1.
SAP Help Portal: Customer Schema2.
質問 # 44
What query syntax do you use for searching customers belonging to a segment using REST API?
- A. select * from profile where attributes. <segment-name> <segment-value>
- B. select from profile where having(segments, (attributes.segment=<segment-name> and attributes.value=<segment-value>))
- C. select * from profile where having(segments, (segments.name = <segment-name> and segments.value = <segment-value>))
- D. select * from profile where segments.<segment-name> <segment-value>
正解：A
質問 # 45
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. Optimization
- B. Normalization
- C. Validation
- D. Verification
正解：B、C
解説：
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.
質問 # 46
You are creating a new legacy variant business unit.
Which matching rules does SAP Customer Data Platform preconfigure for both the Contextual Profile view and the Unified Profile view? Note: There are 3 correct answers to this question.
- A. CRM ID
- B. Master Data ID
- C. CIAM ID
- D. CDC ID
- E. C4C ID
正解：A、B、C
解説：
The SAP Customer Data Platform preconfigures matching rules to ensure accurate customer data matching. These rules are applied sequentially; if no match is found using the first identifier, the next identifier is tried. The predefined matching rules include:
Match Customers based on masterDataId
Match Customers based on crmId
Match Customers based on ciamId
This setup helps in identifying and matching customer data accurately for both the Contextual Profile view and the Unified Profile view.
Reference = The information is verified and matched with the details provided in the SAP Customer Data Platform documentation and learning resources12.
質問 # 47
Which statements describe System Defined 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 Contextual Profile rules cannot be edited, but can be re-ordered.
- C. The Unified Customer Profile rules can be edited, re-ordered, and deleted.
- D. The Contextual Profile rules cannot be edited or re-ordered.
正解：B、D
質問 # 48
When an action is triggered via a CX flow, the outbound data is checked by the system to see whether it passes the validation. What happens if it doesn't pass the validation?
- A. The action fails and the data is passed to the destination application for auditing purposes.
- B. The action fails and the data is not passed to the destination application.
- C. The action succeeds, but an error message is created.
- D. The action fails and it's marked for a retry.
正解：B
解説：
When an action is triggered via a CX flow in the SAP Customer Data Platform, the system checks the outbound data to ensure it passes the validation. If the data does not pass the validation, the action fails, and consequently, the data is not passed to the destination application. This validation process is crucial as it ensures that only data that meets the predefined criteria is transmitted, maintaining the integrity of the data exchange process1.
Reference =
SAP Help Portal: Action Validation1.
質問 # 49
Which query syntax is correct when searching for users in SAP Customer Data Platform?
- A. select * from profile where profile.email = '[email protected]'
- B. select * from profile where attribute.primaryEmail = '[email protected]'
- C. select * from accounts where profile. primaryEmail = '[email protected]'
- D. select * from contextualProfile where primaryEmail = '[email protected]'
正解：C
質問 # 50
What kinds of prediction can you select for a predictive indicator? Note: There are 2 correct answers to this question.
- A. Customer lifetime value
- B. Customer churn
- C. Customer volume
- D. Customer order value
正解：A、B
解説：
Within the SAP Customer Data Platform, predictive indicators are designed to make predictions based on customer profile or group and activity data. Specifically, you can select predictions for Customer lifetime value (CLV) and Customer churn. The CLV prediction is about forecasting the potential revenue a customer will generate over their lifetime, while the churn prediction estimates the likelihood of a customer ceasing to use a company's services or products1.
Reference = This information is derived from the SAP Help Portal documentation, which details the types of predictions you can configure for predictive indicators within the SAP Customer Data Platform, including churn probabilities for profiles and groups, as well as customer lifetime value for profiles and groups1.
質問 # 51
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. Create a custom JDBC connector in the Connector Studio.
- D. Connect to the database using a built-in JDBC-ODBC Bridge connector.
正解：B
質問 # 52
A known customer buys a TV that is delivered late. SAP Customer Data Platform is configured to ingest the customer data for late deliveries so that the business can react and keep good customer satisfaction metrics.
Which type of customer profile is best to use in this scenario?
- A. Master Customer Profile
- B. Contextual Customer Profile
- C. Single Customer Profile
- D. Unified Customer Profile
正解：D
解説：
The Unified Customer Profile within the SAP Customer Data Platform is designed to provide a comprehensive view of the customer by unifying various types of data from multiple sources. This profile type is best suited for scenarios where businesses need to react quickly to specific customer situations, such as late deliveries, to maintain customer satisfaction. By leveraging the Unified Customer Profile, businesses can access all relevant customer information, including activity indicators and segments the customer is part of, which is essential for timely and effective customer service.
Reference = The explanation aligns with the information provided in the SAP Customer Data Platform documentation, particularly in the sections discussing customer profiles and identity resolution123.
The Unified Customer Profile (UCP) is ideal for this scenario. Here's why:
Consolidated Data: The UCP integrates data from various sources (e.g., CRM, e-commerce, delivery systems) to create a comprehensive, 360-degree view of the customer, including their purchase history and the late delivery event.
Real-time Updates: The UCP can be updated in real-time as new data, like the late delivery information, becomes available.
Actionable Insights: The UCP enables the business to quickly identify affected customers and trigger appropriate actions for service recovery (e.g., personalized apologies, compensation), maintaining customer satisfaction.
Reference:
SAP Help Portal: Unified Customer Profile in SAP CDP (Find the latest documentation on the SAP Help Portal)
質問 # 53
Which of the following triggers are supported in CX flows? Note: There are 3 correct answers to this question.
- A. Action occurrence
- B. Audience activated
- C. Customer or group update
- D. Segment membership
- E. Event occurrence
正解：C、D、E
解説：
Within the SAP Customer Data Platform, CX flows are designed to be triggered by specific events that signify a change or an action related to a customer or group. The supported triggers for CX flows include:
Event occurrence: This trigger is activated when a specific event is ingested into the platform, indicating an action or change has occurred.
Customer or group update: This trigger responds to any updates made to customer or group attributes within the platform.
Segment membership: This trigger is based on the inclusion or exclusion of a customer or group within a particular segment, reflecting their changing status or behavior.
These triggers enable the SAP Customer Data Platform to react in real-time to changes in customer data, allowing businesses to deliver personalized experiences at crucial moments in the customer journey.
Reference = The details provided here are consistent with the information available in the SAP Customer Data Platform documentation, which outlines the various triggers that can initiate CX flows123.
質問 # 54
How can you configure SAP Customer Data Platform to ingest tracking data from your website?
- A. Create a source SAP Customer Data Cloud application and configure the service worker on your website.
- B. Create a source Web Client Application and add the provided JavaScript event code to your website pages.
- C. Add the SAP Customer Data Platform web SDK to your website and set cookies with predefined names.
- D. Add a script to your website pages that that will make AJAX calls to the Ingestion API with the event information.
正解：B
解説：
To configure SAP Customer Data Platform to ingest tracking data from your website, you need to create a Web Client Application within the SAP Customer Data Platform. After creating the application, you will load the SDK on your website. Then, you add the report function to start sending behavioral data from your website to the SAP Customer Data Platform application. The process involves setting up an application to receive events sent from your website, preparing a list of trusted domains, and creating events with all the parameters you'll be reporting, such as page views and clicks.
Reference = This information is verified and matched with the details provided in the SAP Customer Data Platform documentation, specifically within the Integration Guide for Web Client Application1.
質問 # 55
What is the purpose of the Connector Studio?
- A. It enables creation of templates for source/destination REST API applications.
- B. It enables activation of newly created audiences.
- C. It enables the setup of ETL jobs and data pipelines for data ingestion.
- D. It enables activation of preconfigured application connectors.
正解：A
解説：
The purpose of the Connector Studio within the SAP Customer Data Platform is to serve as a low-code/no-code solution that enables the creation of integrations between the SAP Customer Data Platform and any REST platform or application. It allows users to create templates for source/destination REST API applications, facilitating the integration process and enabling seamless data flow between different systems.
Reference = This information is derived from the SAP Help Portal documentation on the Connector Studio, which provides a detailed explanation of its role and capabilities in the context of the SAP Customer Data Platform123.
質問 # 56
You are importing primary customer residential address data into SAP Customer Data Platform.How could you implement this feature using the console?
- A. Update the action's model schema
- B. Update the profile customer schema
- C. Update the action's mapping schema
- D. Update the processing purpose
正解：B
解説：
When importing primary customer residential address data into SAP Customer Data Platform using the console, you should update the profile customer schema. This involves defining a customer schema to create a common data model for all incoming customer data, which allows for the coherent view of customers by unifying data from various sources1.
Reference = The procedure for updating the profile customer schema is detailed in the SAP Help Portal documentation under the section 'Configuration Customer Schema'1.
質問 # 57
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SAP C_C4H63_2411 認定試験の出題範囲：
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合格保証付きのSAP Certified Associate C_C4H63_2411試験問題集：https://jp.fast2test.com/C_C4H63_2411-premium-file.html