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[General] Data-Cloud-Consultant Zertifizierungsfragen, Salesforce Data-Cloud-Consultant Pr

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【General】 Data-Cloud-Consultant Zertifizierungsfragen, Salesforce Data-Cloud-Consultant Pr

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Salesforce Data-Cloud-Consultant Prüfungsplan:
ThemaEinzelheiten
Thema 1
  • Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.
Thema 2
  • Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.
Thema 3
  • Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases.
Thema 4
  • Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.

Data-Cloud-Consultant Prüfungsguide: Salesforce Certified Data Cloud Consultant & Data-Cloud-Consultant echter Test & Data-Cloud-Consultant sicherlich-zu-bestehenDie Ausbildungsmaterialien zur Salesforce Data-Cloud-Consultant Zertifizierungsprüfung aus PrüfungFrage verfügen über hohe Genauigkeiten und große Reichweite, sie können nicht nur Ihre Kenntnisse, sondern auch Ihre Operationsfähigkeiten verbessern, so dass Sie zu einem Eliten in der IT-Branche werden und eine gut bezahlte Arbeit bekommen können. Bevor Sie unsere Ausbildungsmaterialien zur Salesforce Data-Cloud-Consultant Zertifizierungsprüfung kaufen, können Sie einige kostenlosen Prüfungsfragen und Antworten als Testversion herunterladen.
Salesforce Certified Data Cloud Consultant Data-Cloud-Consultant Prüfungsfragen mit Lösungen (Q19-Q24):19. Frage
Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.
Which Data Cloud component allows for this?
  • A. Segment membership data model object
  • B. Nested segments
  • C. Segment exclusion
  • D. Calculated insights
Antwort: A
Begründung:
Data Cloud allows customers to analyze the segment membership history of individuals using the Segment Membership data model object. This object stores information about when an individual joined or left a segment, and can be used to create reports and dashboards to track segment performance over time. Cumulus Financial can use this object to filter individuals who have been in the segment within the last 2 years and compare them with other metrics.
The other options are not Data Cloud components that allow for this analysis. Segment exclusion is a feature that allows customers to remove individuals from a segment based on another segment. Nested segments are segments that are created from other segments using logical operators. Calculated insights are derived attributes that are created from existing data using formulas.
References:
* Segment Membership Data Model Object
* Data Cloud Reports and Dashboards
* Create a Segment in Data Cloud

20. Frage
A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).
How should the fields be mapped to support identity resolution?
  • A. Create a new custom object with fields that directly match the incoming table.
  • B. Map name to the Individual object and email address to the Contact Phone Email object.
  • C. Map all fields to the Individual object, adding a custom field for the email address.
  • D. Map all fields to the Customer object.
Antwort: B
Begründung:
To support identity resolution in Data Cloud, the fields from the Master Customer table should be mapped to the standard data model objects that are designed for this purpose. The Individual object is used to store the name and other personally identifiable information (PII) of a customer, while the Contact Phone Email object is used to store the primary email address and other contact information of a customer. These objects are linked by a relationship field that indicates the contact information belongs to the individual. By mapping the fields to these objects, Data Cloud can use the identity resolution rules to match and reconcile the profiles from different sources based on the name and email address fields. The other options are not recommended because they either create a new custom object that is not part of the standard data model, or map all fields to the Customer object that is not intended for identity resolution, or map all fields to the Individual object that does not have a standard email address field. Reference: Data Modeling Requirements for Identity Resolution, Create Unified Individual Profiles

21. Frage
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?
  • A. The Salesforce Integration User Is missing Rad permissions on the newly created field.
  • B. Custom fields on the Case object are not supported for ingesting into Data Cloud.
  • C. After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM.
  • D. The Salesforce Data Loader application should be used to perform a bulk upload from a desktop.
Antwort: A
Begründung:
The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set. Reference: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams

22. Frage
A consultant is connecting sales order data to Data Cloud and considers whether to use the Profile, Engagement, or Other categories to map the DLO. The consultant chooses to map the DLO called Order-Headers to the Sales Order DMO using the Engagement category.
What is the impact of this action on future mappings?
  • A. When mapping a Profile DLO to the Sales Order DMO, the category gets updated to Profile.
  • B. Sales Order DMO gets assigned to both the Profile and Engagement categories when mapping a Profile DLO.
  • C. Only Engagement category DLOs can be mapped to the Sales Order DMO. Sales Order gets assigned to the Engagement Category.
  • D. A DLO with category Engagement can be mapped to any DMO using either Profile. Engagement, or Other categories.
Antwort: C
Begründung:
Data Lake Objects (DLOs) and Data Model Objects (DMOs): In Salesforce Data Cloud, DLOs are mapped to DMOs to organize and structure data. Categories like Profile, Engagement, and Other define how these mappings are used.
Engagement Category: Mapping a DLO to the Engagement category indicates that the data is related to customer interactions and activities.
Impact on Future Mappings:
* Engagement Category Restriction: When a DLO like Order-Headers is mapped to the Sales Order DMO under the Engagement category, future mappings of the Sales Order DMO are restricted to Engagement category DLOs.
* Category Assignment: The Sales Order DMO is assigned to the Engagement category, meaning only DLOs categorized as Engagement can be mapped to it in the future.
Benefits:
* Consistency: Ensures consistent data categorization and usage, aligning data with its intended purpose.
* Accuracy: Helps in maintaining the integrity of data mapping and ensures that engagement-related data is accurately captured and utilized.
References:
* Salesforce Data Cloud Mapping
* Salesforce Data Cloud Categories

23. Frage
A customer has a custom Customer Email c object related to the standard Contact object in Salesforce CRM. This custom object stores the email address a Contact that they want to use for activation.
To which data entity is mapped?
  • A. Contact Point_Email
  • B. Contact
  • C. Custom customer Email__c object
  • D. Individual
Antwort: A
Begründung:
The Contact Point_Email object is the data entity that represents an email address associated with an individual in Data Cloud. It is part of the Customer 360 Data Model, which is a standardized data model that defines common entities and relationships for customer data. The Contact Point_Email object can be mapped to any custom or standard object that stores email addresses in Salesforce CRM, such as the custom Customer Email__c object. The other options are not the correct data entities to map to because:
A . The Contact object is the data entity that represents a person who is associated with an account that is a customer, partner, or competitor in Salesforce CRM. It is not the data entity that represents an email address in Data Cloud.
C . The custom Customer Email__c object is not a data entity in Data Cloud, but a custom object in Salesforce CRM. It can be mapped to a data entity in Data Cloud, such as the Contact Point_Email object, but it is not a data entity itself.
D . The Individual object is the data entity that represents a unique person in Data Cloud. It is the core entity for managing consent and privacy preferences, and it can be related to one or more contact points, such as email addresses, phone numbers, or social media handles. It is not the data entity that represents an email address in Data Cloud. Reference: Customer 360 Data Model: Individual and Contact Points - Salesforce, Contact Point_Email | Object Reference for the Salesforce Platform | Salesforce Developers, [Contact | Object Reference for the Salesforce Platform | Salesforce Developers], [Individual | Object Reference for the Salesforce Platform | Salesforce Developers]

24. Frage
......
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