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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Ingestion and Modeling	20%	- Transformation and mapping - Ingestion from various sources - Data validation and inspection - Data modeling best practices
Topic 2: Data Cloud Overview	18%	- Core concepts and terminology - Business value and use cases - Architecture and ecosystem
Topic 3: Act on Data	18%	- Process automation and triggering - Activation concepts and use cases - Attribute usage and management - Troubleshooting activations
Topic 4: Identity Resolution	14%	- Conflict resolution - Matching and reconciliation rules - Unified profile creation - Identity use cases
Topic 5: Segmentation and Insights	18%	- Insight implementation - Segment creation and configuration - Calculated vs streaming insights - Segment membership analysis
Topic 6: Data Cloud Setup and Administration	12%	- Data streams and data bundles - Permissions and access control - Monitoring and maintenance tools - Data spaces and configuration

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Salesforce Data Cloud Accredited Professional Exam Salesforce-Data-Cloud Prüfungsfragen mit Lösungen (Q24-Q29):

24. Frage
Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud.
While setting up the connector, which type of refresh should NTO expect when the data stream is deployed for the first time?

A. Full refresh
B. Partial refresh
C. Manual refresh
D. Incremental

Antwort: A

Begründung:
Data Stream Deployment: When setting up a data stream in Salesforce Data Cloud, the initial deployment requires a comprehensive data load.
Types of Refreshes:
Incremental Refresh: Only updates with new or changed data since the last refresh.
Manual Refresh: Requires a user to manually initiate the data load.
Partial Refresh: Only a subset of the data is refreshed.
Full Refresh: Loads the entire dataset into the system.
First-Time Deployment: For the initial deployment of a data stream, a full refresh is necessary to ensure all data from the source system is ingested into Salesforce Data Cloud.
References:
Salesforce Documentation: Data Stream Setup
Salesforce Data Cloud Guide

25. Frage
How does Data Cloud handle an individual's Right to be Forgotten?

A. Deletes the specified Individual and records from any data source object mapped to the Individual data model object.
B. Deletes the records from all data source objects, and any downstream data model objects are updated at the next scheduled ingestion
C. Deletes the specified Individual record and its Unified Individual Link record.
D. Deletes the specified Individual and records from any data model object/data lake object related to the Individual.

Antwort: D

Begründung:
Data Cloud handles an individual's Right to be Forgotten by deleting the specified Individual and records from any data model object/data lake object related to the Individual. This means that Data Cloud removes all the data associated with the individual from the data space, including the data from the source objects, the unified individual profile, and any related objects. Data Cloud also deletes the Unified Individual Link record that links the individual to the source records. Data Cloud uses the Consent API to process the Right to be Forgotten requests, which are reprocessed at 30, 60, and 90 days to ensure a full deletion.
The other options are not correct descriptions of how Data Cloud handles an individual's Right to be Forgotten. Data Cloud does not delete the records from all data source objects, as this would affect the data integrity and availability of the source systems. Data Cloud also does not delete only the specified Individual record and its Unified Individual Link record, as this would leave the source records and the related records intact. Data Cloud also does not delete only the specified Individual and records from any data source object mapped to the Individual data model object, as this would leave the related records intact.
Requesting Data Deletion or Right to Be Forgotten
Data Deletion for Data Cloud
Use the Consent API with Data Cloud
Data and Identity in Data Cloud

26. Frage
How does Data Cloud handle an individual's right to be forgotten?

A. Deletes the specified Individual and records from any DSO mapped to the Individual DMO.
B. Deletes the records from all DSOs and any downstream DMOs are updated at the next scheduled ingestion.
C. Deletes the specified Individual record and its Unified Individual Link record.
D. Deletes the specifiedIndividual and records from any DMO/DLO related to the Individual.

Antwort: A

Begründung:
This is how Data Cloud handles an individual's right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and anyrelated records from the data stream objects (DSOs) that are mapped to it.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm&type=5

27. Frage
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?

A. Include Contact Point Email object Is Active field as a match rule.
B. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliationrule.
C. Use the source priority order in activations to make sure a contact point from the desired sourceis delivered to the activation target.
D. Set the default reconciliation rule to Last Updated.

Antwort: C

Begründung:
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel's preference and deliver a better customer experience. References: Configure Activations, Use Source Priority Order in Activations

28. Frage
What does the Source Sequence reconciliation rule do in identity resolution?

A. Identifies which individual records should be merged into a unified profile by setting a priority forspecific data sources
B. Sets the priority of specific data sources when building attributes in a unified profile, such as afirst or last name
C. Identifies which data sources should be used in the process of reconcillation by prioritizing themost recently updated data source
D. Includes data from sources where the data is most frequently occurring

Antwort: B

Begründung:
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules

29. Frage
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