2025 C-C4H63-2411 NEW CRAM MATERIALS & SAP CERTIFIED ASSOCIATE - IMPLEMENTATION CONSULTANT - SAP CUSTOMER DATA PLATFORM UNPARALLELED LATEST BRAINDUMPS QUESTIONS

2025 C-C4H63-2411 New Cram Materials & SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Unparalleled Latest Braindumps Questions

2025 C-C4H63-2411 New Cram Materials & SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Unparalleled Latest Braindumps Questions

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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q27-Q32):

NEW QUESTION # 27
Which of the following are functionalities of the Event Playground? Note: There are 2 correct answers to this question.

  • A. Ingesting a test event with test values provided via a dedicated form
  • B. Recording results of test event runs and exporting them as a JSON
  • C. Allowing input of data at each step after the test event is run to verify alternative outcomes
  • D. Showing logs and errors at each step of the pipeline, in both table format and JSON

Answer: A,D

Explanation:
The Event Playground in the SAP Customer Data Platform includes functionalities that allow for the ingestion of a test event with test values provided via a dedicated form. It also shows logs and errors at each step of the pipeline, presented in both table format and JSON. This enables users to track and understand results and failures, locate data processing issues, and identify connector problems1. Reference = Event Playground | SAP Help Portal


NEW QUESTION # 28
You are using predictive indicators to configure predictive models and view results. What types of models can you design? Note: There are 3 correct answers to this question.

  • A. Predict chum probabilities for profiles
  • B. Predict events for groups
  • C. Predict customer lifetime value for profiles
  • D. Predict actions for groups
  • E. Predict churn probabilities for groups

Answer: A,C,E

Explanation:
Within the SAP Customer Data Platform, you can design predictive models, also known as predictive indicators, for various purposes. The types of models you can create include predicting churn probabilities for individual profiles (CHURN Profile), predicting churn probabilities for groups (CHURN Group), and predicting customer lifetime value for individual profiles (CLV Profile). These models help in understanding and anticipating customer behaviors, which is crucial for maintaining customer relationships and maximizing customer value.
Reference = The types of predictive models available for configuration in the SAP Customer Data Platform are detailed in the SAP Help Portal documentation on managing models and predictive indicators1.


NEW QUESTION # 29
You want a customer to be included in an audience.
Which data must be available for the customer?

  • A. Processing purpose
  • B. Segment
  • C. Processing reason
  • D. Customer consent

Answer: B


NEW QUESTION # 30
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 to override existing data, based on the quality of the incoming and existing data
  • C. Decide what to do if a data conflict occurs for an identifier attribute
  • D. Decide whether more than one value can be saved for an attribute

Answer: A,B

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

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

Answer: A,B


NEW QUESTION # 32
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