SAP RELIABLE C_C4H63_2411 TEST OBJECTIVES: SAP CERTIFIED ASSOCIATE - IMPLEMENTATION CONSULTANT - SAP CUSTOMER DATA PLATFORM - EXAMSREVIEWS OFFICIAL PASS CERTIFY

SAP Reliable C_C4H63_2411 Test Objectives: SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform - ExamsReviews Official Pass Certify

SAP Reliable C_C4H63_2411 Test Objectives: SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform - ExamsReviews Official Pass Certify

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SAP Certified Associate - Implementation Consultant - SAP Customer Data Platform Sample Questions (Q33-Q38):

NEW QUESTION # 33
Which of the following can be used to create entry conditions for milestones in a CX journey? Note: There are 3 correct answers to this question.

  • A. Profile attributes
  • B. Group attributes
  • C. Activity attributes
  • D. Segments
  • E. Activity indicators

Answer: A,D,E

Explanation:
In the SAP Customer Data Platform, entry conditions for milestones in a CX journey are defined by certain criteria that trigger the customer's transition from one milestone to the next. These entry conditions can be associated with one or more CX flows. The correct options that can be used to create these entry conditions are:
Segments: These are used to define a part of the customer base that shares common characteristics.
Profile attributes: These attributes are related to the customer's profile data.
Activity indicators: These are specific markers or signals derived from customer activities.
Group attributes and activity attributes are not mentioned as options for creating entry conditions in the provided resources.
Reference = The information is based on the SAP Customer Data Platform documentation, which details how to add milestones to a CX journey and defines the entry conditions necessary for transitioning between milestones12.


NEW QUESTION # 34
Which of these activation methods can be used with actions?
Note: There are 2 correct answers to this question.

  • A. Audiences
  • B. CX flows
  • C. CX milestones
  • D. CX journeys

Answer: B,D


NEW QUESTION # 35
How many conditions are allowed per single segment?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
In the SAP Customer Data Platform, a single segment can be defined with a maximum of 200 conditions. This allows for the creation of highly customized customer segments by using various 'include/exclude' and 'and/or' conditions, as well as different operators. These segments are evaluated in real-time whenever a customer profile is updated, ensuring that the segmentation is always current and applied to both the contextual profile and the unified customer profile views.
Reference = This information is confirmed by the SAP Help Portal documentation on Segments and Segment Attributes within the SAP Customer Data Platform12.


NEW QUESTION # 36
You want to create a calculated indicator.
What attributes from the customer schema can you use? Note: There are 3 correct answers to this question.

  • A. Segments
  • B. Events
  • C. Profile
  • D. Actions
  • E. Activity indicators

Answer: B,C,E

Explanation:
When creating a calculated indicator within the SAP Customer Data Platform, you can utilize attributes from the customer schema such as Events (B), Profile , and Activity indicators (D). These attributes can be combined in a mathematical equation to create a new indicator that reflects complex calculations. For example, you can use numeric profile attributes, activity indicators, or activities from the CDP schema to calculate the new indicator, and you can also apply conditions to narrow down the customer profiles to which the calculation will be applied.
Reference = This information is supported by the SAP Help Portal documentation on creating a calculated activity indicator1 and activity indicator calculation2.
In the SAP Customer Data Platform, when creating a calculated indicator, certain attributes from the customer schema are pivotal for defining complex metrics that provide deeper insights into customer behaviors and preferences. The attributes you can use include:
B . Events: These attributes encompass various customer interactions and behaviors captured as events, such as purchases, website visits, or engagement with marketing campaigns. Events can be used to calculate indicators that reflect customer activity levels, preferences, or engagement patterns.
C . Profile: Profile attributes contain demographic and personal information about the customer, such as age, location, preferences, and more. These attributes can be used in calculated indicators to segment customers, personalize experiences, or predict customer behaviors based on their profiles.
D . Activity indicators: These are metrics or flags derived from customer activities and behaviors, such as frequency of purchases, average transaction value, or recent engagement. Using activity indicators to create calculated indicators allows for the synthesis of complex metrics that can measure customer loyalty, lifetime value, or risk of churn.
By leveraging these attributes, calculated indicators can provide multifaceted insights into customer behavior, preferences, and value, driving more informed business decisions and personalized customer experiences.
Reference:
SAP Customer Data Platform documentation on creating calculated indicators and using customer schema attributes.
Best practices for leveraging customer data attributes in the SAP Customer Data Platform for advanced analytics and segmentation.


NEW QUESTION # 37
Which statements describe preconfigured matching rules? Note: There are 2 correct answers to this question.

  • A. The Contextual Profile rules cannot be edited, but can be re-ordered.
  • B. The Contextual Profile rules cannot be edited or re-ordered.
  • C. The Unified Customer Profile rules can be edited and re-ordered, but not deleted.
  • D. The Unified Customer Profile rules can be edited, re-ordered, and deleted.

Answer: C,D

Explanation:
In the context of the SAP Customer Data Platform, matching rules are critical for accurately merging and linking customer data from various sources. Regarding preconfigured matching rules:
B . The Unified Customer Profile rules can be edited and re-ordered, but not deleted. This flexibility allows organizations to tailor the matching logic to their specific needs and priorities while maintaining a core set of rules that ensure consistent and reliable matching across customer data sets.
C . The Unified Customer Profile rules can be edited, re-ordered, and deleted. In some configurations, it's possible to have full control over these rules, including the ability to delete them if they are no longer relevant or if better matching criteria have been established. This level of control supports dynamic and evolving data management strategies, allowing businesses to adapt their matching logic as their understanding of their customer data deepens or as their business requirements change.
These options underscore the platform's flexibility in managing customer data, enabling organizations to fine-tune how individual customer records are identified, merged, and maintained over time.
Reference:
SAP Customer Data Platform documentation on data matching and merging capabilities.
Best practices for configuring matching rules in the Unified Customer Profile within the SAP Customer Data Platform.


NEW QUESTION # 38
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