[2024] C_C4H630_34 Answers C_C4H630_34 Free Demo Are Based On The Real Exam [Q27-Q47]

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[2024] C_C4H630_34 Answers C_C4H630_34 Free Demo Are Based On The Real Exam

C_C4H630_34 [Jun-2024 Newly Released] Exam Questions For You To Pass

Q27. Which of the following steps to create an action are supported in SAP Customer Data Platform? Note: There are 2correct answers to this question.

Defining a scheduled polling to execute the action

Defining a name, category, processing purpose, and a description for the action

Dragging and dropping a JSON file that contains the schema structure onto the canvas

Defining a name, data type, processing purpose, and a description for the action

Q28. What are two key capabilities that differentiate customer data platform (CDP) from other delivery platforms (e.g. CRM, Data Warehouse)? Note: There are 2 correct answers to this question.

Real-time data processing

Unified customer data

Customer identification

Accessibility and discoverability

Q29. You are importing orders into SAP Customer Data Platform. What is the recommended type of schema to model it?

Activity

Account

Event

Profile

Q30. What can you do in Tech Tool Box? Note: There are 3 correct answers to this question.

Provision workspaces

Browse and search logs

Reset business units

Add business units

Create export jobs

Q31. Which of the following are important considerations when importing data into SAP Customer Data Platform?
Note: There are 2 correct answers to this question.

An integration flow needs to be configured in SAP Business Technology Platform to send data to SAP Customer Data Platform.

The identifier of the event must be mapped to the deduplication identifier to prevent the same event from being ingested twice.

The source data can only be imported into SAP Customer Data Platform in JSON format.

The original timestamp of the customer event activity needs to be mapped in the event metadata.

Q32. Which tab in the customer dashboard shows the segments of the customer profile?

Trust

Overview

Activities

Details

Q33. 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.

Actions

Events

Profile

Activity indicators

Segments

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.
References = 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.
References:
* 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.

Q34. Which query syntax is correct when searching for users in SAP Customer Data Platform?

Select * from accounts where profile. primaryEmail = ‘[email protected]’

select * from profile where profile.email = ‘[email protected]’

select * from contextualProfile where primaryEmail = ‘[email protected]’

select * from profile where attribute.primaryEmail = ‘[email protected]’

Q35. You are importing primary customer residential address data into SAP Customer Data Platform. What is the recommended type of schema to model it?

Profile

Accounts

Data store

Activity

Q36. Which of the following merge rules must be defined at attribute level?Note: There are 2 correct answers to this question.

Decide what to do if a data conflict occurs for an identifier attribute

Decide whether to override existing data, based on the quality of the incoming and existing data

Decide whether more than one value can be saved for an attribute

Decide whether to concatenate the incoming value with the existing value of the same attribute

Q37. What are some of the attributes that can be used as criteria to create an audience? Note: There are 3 correct answers to this question.

Profile entity attributes

Attributes from another audience

Action attributes

Activity attributes

Segment attributes

Q38. Which of the following activation methods can actions be used with? Note: There are 2correctanswers to this question.

CX journeys

CX flows

CX milestones

Audiences

Q39. Which of the following merge rules must be defined at attribute level? Note: There are 2 correct answers to this question.

Decide whether to concatenate the incoming value with the existing value of the same attribute

Decide whether more than one value can be saved for an attribute

Decide what to do if a data conflict occurs for an identifier attribute

Decide whether to override existing data, based on the quality of the incoming and existing data

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. References = 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.

Q40. What can be configured as part of the customer schema within SAP Customer Data Platform? Note:
There are 2 correct answers to this question.

Activities

Segments

Activity indicators

Profile entity

Q41. What is the recommended way to obtain the application key and secret for authorization of REST API calls to SAP Customer Data Platform?

By accessing the Event Listener tab after configuring the event

By configuring the connector in the Connector Studio

By creating an application user in the Administration dashboard

By creating a server application from the application library

Q42. Which of the following are general import guidelines? Note: There are 3 correct answers to this question.

CX flows should be deactivated for data imports.

The SAP Customer Data Platform instance should be switched to maintenance mode during an import process.

Activities containing segments and activity indicator information should be imported individually.

Metadata fields should be used during an import process.

Imported data file size should not exceed 250 MB.

Q43. Which statements describe preconfigured matching rules? Note: There are 2 correct answers to this question.

The Contextual Profile rules cannot be edited or re-ordered.

The Unified Customer Profile rules can be edited and re-ordered, but not deleted.

The Unified Customer Profile rules can be edited, re-ordered, and deleted.

The Contextual Profile rules cannot be edited, but can be re-ordered.

Q44. You want to authenticate requests to event listeners created by the source server application. How can you do this? Note: There are 2 correct answers to this question.

Pass the token generated by OAuth 2.0 protocol.

Pass the client-side SSL certificate.

Pass the application key and secret as parameters.

Pass a constructed JWT as the bearer token.

Q45. Which statements describe preconfigured matching rules? Note: There are 2 correct answers to this question.

The Unified Customer Profile rules can be edited and re-ordered, but not deleted.

The Contextual Profile rules cannot be edited or re-ordered.

The Unified Customer Profile rules can be edited, re-ordered and deleted.

The Contextual Profile rules cannot be edited, but can be re-ordered.

Q46. Which of the following is an example of first-party customer data?

Customer data imported from another company

Customer data from a purchase intention

Customer data collected from public sources

Customer data collected directly from consumers

Q47. For which of the following use cases is SAP Customer Data Platform most applicable? Note: There are
2correct answers to this question.

To provide detailed financials of cash flow statements

To understand the ways clients interact with brands

To show how a marketing campaign performed quarter over quarter

To discover how customers are using products and services

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[2024] C_C4H630_34 Answers C_C4H630_34 Free Demo Are Based On The Real Exam [Q27-Q47]

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