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[General] Salesforce-Data-Cloud Latest Braindumps, Valid Salesforce-Data-Cloud Exam Fee

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【General】 Salesforce-Data-Cloud Latest Braindumps, Valid Salesforce-Data-Cloud Exam Fee

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q21-Q26):NEW QUESTION # 21
Which three components of Data Cloud can be bundled within a Data Kit?
  • A. Identity Resolution Rulesets
  • B. Data Models
  • C. Data Streams
  • D. Calculated Insights
  • E. Segments
Answer: B,C,E
Explanation:
Explanation
These three components of Data Cloud can be bundled within a Data Kit. A Data Kit is a package that contains data model objects, segments, and data streams that can be installed in another Data Cloud org.
References: https://help.salesforce.com/s/ar ... _kit.htm&type=5

NEW QUESTION # 22
Which match criteria is only available as custom in order to perform an exact match in Identity Resolution?
  • A. Phone Number
  • B. Party Identification Id
  • C. Email Address
  • D. Government Id
Answer: B
Explanation:
Party Identification Id isthe only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard matchcriteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. References: Create Custom Match Criteria

NEW QUESTION # 23
What is the relationship between Individual and Contact Point Objects?
  • A. 1:1
  • B. Many: Many
  • C. 1: Many
  • D. None of the above
Answer: C
Explanation:
The relationship between Individual and Contact Point Objects is 1: Many. This means that one Individual can have many Contact Points, such as email addresses, phone numbers, or postal addresses, but each Contact Point can only belong to one Individual. Reference: Data Model Overview

NEW QUESTION # 24
A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.
How should a consultant ingest and map this data in Data Cloud?
  • A. Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.
  • B. Ingest the data into one DLO and then map to one custom DMO.
  • C. Ingest the data into two DLOs and then map to two custom DMOs.
  • D. Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.
Answer: A
Explanation:
To handle duplicate data for customers who are both loan applicants and high net worth individuals, the consultant should ingest the data into two separate Data Lake Objects (DLOs) and map them to the Individual and Contact Point Email Data Model Objects (DMOs). Here's why and how this works:
Understanding the Problem :
Customers may exist in both datasets (loan applicants and high net worth individuals), leading to potential duplication.
To avoid redundancy while maintaining data integrity, the data must be ingested and mapped carefully.
Why Two DLOs?
By ingesting the data into two DLOs, you can maintain separation between the two datasets while still leveraging shared attributes (e.g., email addresses).
Mapping both DLOs to the Individual and Contact Point Email DMOs ensures that identity resolution can consolidate duplicate records based on shared identifiers like email.
Steps to Implement This Solution :
Step 1: Create two DLOs-one for loan applicants and another for high net worth customers.
Step 2: Map both DLOs to the Individual DMO to consolidate customer profiles.
Step 3: Map the email fields from both DLOs to the Contact Point Email DMO to enable identity resolution based on email addresses.
Step 4: Configure identity resolution rules to merge duplicate records based on shared attributes like email.
Why Not Other Options?
A). Use a data transform to consolidate the data into one DLO: Consolidating into a single DLO before mapping would lose the distinction between the two datasets and make it harder to manage updates or changes.
C). Ingest the data into two DLOs and then map to two custom DMOs: Creating custom DMOs is unnecessary complexity when the standard Individual and Contact Point Email DMOs can handle this scenario.
D). Ingest the data into one DLO and then map to one custom DMO: Using a single DLO would result in data loss or confusion, as the distinction between loan applicants and high net worth customers would be lost.
By using two DLOs and mapping them to the standard DMOs, the consultant ensures clean data ingestion and effective identity resolution.

NEW QUESTION # 25
Which two statements about Data Cloud's Web and Mobile App connector are true?
  • A. Mobile and Web SDK schema can be updated to delete an existing field
  • B. Tenant Specific Endpoint is auto-generated in Data Cloud when setting up a Mobile or Web app connection
  • C. Any Data Streams associated with Web or Mobile connector app will be automatically deleted upon deleting the app from Data Cloud Setup
  • D. Data Cloud administrators can see the status of a Web or Mobile connector app on the app details page
Answer: B,D
Explanation:
Explanation
The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK. References:
https://help.salesforce.com/s/ar ... ctor.htm&type=5

NEW QUESTION # 26
......
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