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Keith Reed Keith Reed

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Data-Cloud-Consultant Neuesten und qualitativ hochwertige Prüfungsmaterialien bietet - quizfragen und antworten

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Salesforce Data-Cloud-Consultant Prüfungsplan:

Thema
Einzelheiten

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

Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.

Thema 4

Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.

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Salesforce Certified Data Cloud Consultant Data-Cloud-Consultant Prüfungsfragen mit Lösungen (Q51-Q56):

51. Frage
A customer requests that their personal data be deleted.
Which action should the consultant take to accommodate this request in Data Cloud?

A. Use the Data Rights Subject Request tool to request deletion of the customer's information.
B. Use Profile Explorer to delete the customer data from Data Cloud.
C. Use Consent API to request deletion of the customer's information.
D. Use a streaming API call to delete the customer's information.

Antwort: A

52. Frage
A customer notices that their consolidation rate is low across their account unification. They have mapped Account to the Individual and Contact Point Email DMOs.
What should they do to increase their consolidation rate?

A. Change reconciliation rules to Most Occurring.
B. Increase the number of matching rules.
C. Update their account address details in the data source
D. Disable the individual identity ruleset.

Antwort: B

Begründung:
Consolidation Rate: The consolidation rate in Salesforce Data Cloud refers to the effectiveness of unifying records into a single profile. A low consolidation rate indicates that many records are not being successfully unified.
Matching Rules: Matching rules are critical in the identity resolution process. They define the criteria for identifying and merging duplicate records.
Solution:
* Increase Matching Rules: Adding more matching rules improves the system's ability to identify duplicate records. This includes matching on additional fields or using more sophisticated matching algorithms.
* Steps:
* Access the Identity Resolution settings in Data Cloud.
* Review the current matching rules.
* Add new rules that consider more fields such as phone number, address, or other unique identifiers.
Benefits:
* Improved Unification: Higher accuracy in matching and merging records, leading to a higher consolidation rate.
* Comprehensive Profiles: Enhanced customer profiles with consolidated data from multiple sources.
References:
* Salesforce Data Cloud Identity Resolution
* Salesforce Help: Matching Rules

53. Frage
A marketing manager at Northern Trail Outfitters wants to Improve marketing return on investment (ROI) by tapping into Insights from Data Cloud Segment Intelligence.
Which permission set does a user need to set this up?

A. Cloud Marketing Manager
B. Data Cloud Data Aware Specialist
C. Data Cloud Admin
D. Data Cloud User

Antwort: C

Begründung:
To configure and use Segment Intelligence in Salesforce Data Cloud for improving marketing ROI, the user requires administrative privileges. Here's the detailed analysis:
Data Cloud Admin (Option D):
Permission Set Scope:
The Data Cloud Admin permission set grants full access to configure advanced Data Cloud features, including Segment Intelligence, which provides AI-driven insights (e.g., audience trends, engagement metrics).
Admins can define metrics, enable predictive models, and analyze segment performance, all critical for optimizing marketing ROI.
Official Documentation:
Salesforce's Data Cloud Permission Sets Guide explicitly states that Segment Intelligence configuration and management require administrative privileges. Only the Data Cloud Admin role can modify data model settings, access AI/ML tools, and apply segment recommendations (Source: "Admin vs. Standard User Permissions").
Why "Cloud Marketing Manager (C)" Is Incorrect:
No Standard Permission Set:
"Cloud Marketing Manager" is not a standard Salesforce Data Cloud permission set. This option may conflate Marketing Cloud roles (e.g., Marketing Manager) with Data Cloud's permission structure.
Marketing Cloud vs. Data Cloud:
While Marketing Cloud has roles like "Marketing Manager," Data Cloud uses distinct permission sets (Admin, User, Data Aware Specialist). Segment Intelligence is a Data Cloud feature and requires Data Cloud-specific permissions.
Other Options:
Data Cloud Data Aware Specialist (A): Provides read-only access to data governance tools but lacks permissions to configure Segment Intelligence.
Data Cloud User (B): Allows basic segment activation and viewing but cannot set up AI-driven insights.
Steps to Validate:
Step 1: Assign the Data Cloud Admin permission set via Setup > Users > Permission Sets.
Step 2: Navigate to Data Cloud > Segment Intelligence to configure analytics, review AI recommendations, and optimize segments.
Step 3: Use insights to refine targeting and measure ROI improvements.
Conclusion: The Data Cloud Admin permission set is required to configure and leverage Segment Intelligence, as it provides the necessary administrative rights to Data Cloud's advanced analytics and AI tools. "Cloud Marketing Manager" is not a valid permission set in Data Cloud.

54. Frage
During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?

A. Data Cleansing
B. Harmonization
C. Data Consolidation
D. Identity Resolution

Antwort: D

Begründung:
Identity resolution is the feature that allows Data Cloud to match and reconcile data about individuals from multiple data sources into a single unified profile. Identity resolution uses rulesets to define how source profiles are matched and consolidated based on common attributes, such as name, email, phone, or party identifier. Identity resolution enables Data Cloud to create a 360-degree view of each customer across different data sources and systems12. The other options are not the best features to highlight for this customer need because:
* A. Data cleansing is the process of detecting and correcting errors or inconsistencies in data, such as duplicates, missing values, or invalid formats. Data cleansing can improve the quality and accuracy of data, but it does not match or reconcile data across different data sources3.
* B. Harmonization is the process of standardizing and transforming data from different sources into a common format and structure. Harmonization can enable data integration and interoperability, but it does not match or reconcile data across different data sources4.
* C. Data consolidation is the process of combining data from different sources into a single data set or system. Data consolidation can reduce data redundancy and complexity, but it does not match or reconcile data across different data sources5. References: 1: Data and Identity in Data Cloud | Salesforce Trailhead, 2: Data Cloud Identiy Resolution | Salesforce AI Research, 3: [Data Cleansing - Salesforce], 4: [Harmonization - Salesforce], 5: [Data Consolidation - Salesforce]

55. 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. The Salesforce Data Loader application should be used to perform a bulk upload from a desktop.
D. After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM.

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

56. Frage
......

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