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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q15-Q20):

NEW QUESTION # 15
What is the purpose of the Connector Studio?

A. It enables the setup of ETL jobs and data pipelines for data ingestion.
B. It enables creation of templates for source/destination REST API applications.
C. It enables activation of newly created audiences.
D. It enables activation of preconfigured application connectors.

Answer: B

Explanation:
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.

NEW QUESTION # 16
What do you need to configure to send data from SAP Customer Data Platform to a target system?

A. Matching rules
B. Extensions
C. Actions
D. REST APIS

Answer: D

NEW QUESTION # 17
The search API for a single customer record does not show any segments tied to the profile, but you can see the segments in the customer dashboard. What could be the reason for this?

A. Segment data is never returned by the query API.
B. Permissions for the API authorization keys are missing.
C. Segment fields are not part of the processing purpose for the record.
D. The query API is not using the Unified Profile viewld.

Answer: A

NEW QUESTION # 18
Why does SAP Customer Data Platform provide two views of the customer?

A. To provide two Customer Profiles with two different processing purposes
B. To provide the right profile for every customer experience use case
C. To provide customer activities in one view and profile data in another
D. To provide one profile for marketing and another for personalization

Answer: B

NEW QUESTION # 19
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 override existing data, based on the quality of the incoming and existing data
B. Decide whether more than one value can be saved for an attribute
C. Decide whether to concatenate the incoming value with the existing value of the same attribute
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 # 20
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