LATEST C_C4H63_2411 EXAM MATERIALS - RELIABLE C_C4H63_2411 EXAM VOUCHER

Latest C_C4H63_2411 Exam Materials - Reliable C_C4H63_2411 Exam Voucher

Latest C_C4H63_2411 Exam Materials - Reliable C_C4H63_2411 Exam Voucher

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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
  • 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 3
  • 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 4
  • 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 5
  • 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.

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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q44-Q49):

NEW QUESTION # 44
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 the unique identifier is invalid.
  • C. It indicates that there was an error updating those attributes in the last inbound event.
  • D. It indicates that no value is set for those identifier attributes.

Answer: A


NEW QUESTION # 45
Which query syntax is correct when searching for users in SAP Customer Data Platform?

Answer: D

Explanation:
When searching for users in the SAP Customer Data Platform, the correct query syntax to use would be:
B . select * from profile where profile.email = '[email protected]' This syntax is designed to query the customer profiles based on a specific email address, where profile.email refers to the email attribute within the customer profiles. This query retrieves all profiles where the email address matches the specified value.
Using this syntax ensures that the query is correctly formatted and targeted, allowing for efficient retrieval of customer information based on specific attributes within the platform.
Reference:
SAP Customer Data Platform documentation on query syntax and searching for customer profiles.
Technical guides and reference materials on constructing and executing queries within the SAP Customer Data Platform.


NEW QUESTION # 46
Which of the following can be used as audience conditions?
Note: There are 3 correct answers to this question.

  • A. Indicator
  • B. Profile attribute
  • C. Action
  • D. Event
  • E. Segment

Answer: A,B,E


NEW QUESTION # 47
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. Verification
  • B. Validation
  • C. Normalization
  • D. Optimization

Answer: B,C

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 # 48
Which of the following are important considerations when importing data into SAP Customer Data Platform? Note: There are 2 correct answers to this question.

  • A. The identifier of the event must be mapped to the deduplication identifier to prevent the same event from being ingested twice.
  • B. The original timestamp of the customer event activity needs to be mapped in the event metadata.
  • C. The source data can only be imported into SAP Customer Data Platform in JSON format.
  • D. An integration flow needs to be configured in SAP Business Technology Platform to send data to SAP Customer Data Platform.

Answer: A,B

Explanation:
When importing data into the SAP Customer Data Platform, it's crucial to ensure that the original timestamp of the customer event activity is mapped in the event metadata. This allows for the correct application of logic and maintains an accurate current image of the customer. Additionally, to prevent the same event from being ingested more than once, the identifier of the event must be mapped to the deduplication identifier in the event metadata. If multiple events are sent with the same identifier value in this mapped field, only the first will be ingested.
Reference = The information is verified and matched with the guidelines provided in the SAP Customer Data Platform documentation on the SAP Help Portal1.
When importing data into the SAP Customer Data Platform, several considerations are crucial for ensuring the integrity and usability of the imported data:
B . The identifier of the event must be mapped to the deduplication identifier to prevent the same event from being ingested twice. This practice ensures that each event is unique within the system and avoids duplicating data, which can lead to inaccuracies in customer profiles and analytics.
D . The original timestamp of the customer event activity needs to be mapped in the event metadata. Preserving the original timestamp is essential for maintaining the chronological accuracy of events. It allows the platform to correctly interpret and utilize the temporal context of data, which is crucial for analytics, segmentation, and triggering timely engagements.
These considerations are key to maintaining the quality and reliability of data within the SAP Customer Data Platform, ensuring that imported data provides accurate and actionable insights.
Reference:
SAP Customer Data Platform documentation on data import best practices and considerations.
Technical guidelines for ensuring data integrity and accuracy during the import process.


NEW QUESTION # 49
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