2025 DATA-CLOUD-CONSULTANT: AUTHORITATIVE SALESFORCE CERTIFIED DATA CLOUD CONSULTANT PASSED

2025 Data-Cloud-Consultant: Authoritative Salesforce Certified Data Cloud Consultant Passed

2025 Data-Cloud-Consultant: Authoritative Salesforce Certified Data Cloud Consultant Passed

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 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.
Topic 4
  • 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.
Topic 5
  • 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.

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Salesforce Certified Data Cloud Consultant Sample Questions (Q69-Q74):

NEW QUESTION # 69
What is Data Cloud's primary value to customers?

  • A. To provide a unified view of a customer and their related data
  • B. To create personalized campaigns by listening, understanding, and acting on customer behavior
  • C. To create a single source of truth for all anonymous data
  • D. To connect all systems with a golden record

Answer: A

Explanation:
Data Cloud is a platform that enables you to activate all your customer data across Salesforce applications and other systems. Data Cloud allows you to create a unified profile of each customer by ingesting, transforming, and linking data from various sources, such as CRM, marketing, commerce, service, and external data providers. Data Cloud also provides insights and analytics on customer behavior, preferences, and needs, as well as tools to segment, target, and personalize customer interactions. Data Cloud's primary value to customers is to provide a unified view of a customer and their related data, which can help you deliver better customer experiences, increase loyalty, and drive growth. References: Salesforce Data Cloud, When Data Creates Competitive Advantage


NEW QUESTION # 70
A customer has a requirement to receive a notification whenever an activation fails for a particular segment.
Which feature should the consultant use to solution for this use case?

  • A. Activation alert
  • B. Flow
  • C. Report
  • D. Dashboard

Answer: A

Explanation:
Explanation
The feature that the consultant should use to solution for this use case is C. Activation alert. Activation alerts are notifications that are sent to users when an activation fails or succeeds for a segment. Activation alerts can be configured in the Activation Settings page, where the consultant can specify the recipients, the frequency, and the conditions for sending the alerts. Activation alerts can help the customer to monitor the status of their activations and troubleshoot any issues that may arise. References: Salesforce Data Cloud Consultant Exam Guide, Activation Alerts


NEW QUESTION # 71
A Data Cloud consultant recently discovered that their identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual.
What should the consultant do to address this issue?

  • A. Modify the existing ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
  • B. Modify the existing ruleset with stricter matching criteria, run the ruleset and review the updated results, then adjust as needed until the individuals are matching correctly.
  • C. Create and run a new ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
  • D. Create and run a new rules fewer matching rules, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.

Answer: C

Explanation:
Identity resolution is the process of linking source profiles from different data sources into unified individual profiles based on match and reconciliation rules. If the identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual, it means that the match rules are too loose and need to be refined. The best way to address this issue is to create and run a new ruleset with stricter matching criteria, such as adding more attributes or increasing the match score threshold. Then, the consultant can compare the two rulesets to review and verify the results, and see if the new ruleset reduces the false positives and improves the accuracy of the identity resolution. Once the new ruleset is approved, the consultant can migrate to the new ruleset and delete the old one. The other options are incorrect because modifying the existing ruleset can affect the existing unified profiles and cause data loss or inconsistency.
Creating and running a new ruleset with fewer matching rules can increase the false negatives and reduce the coverage of the identity resolution. References: Create Unified Individual Profiles, AI-based Identity Resolution: Linking Diverse Customer Data, Data Cloud Identiy Resolution.


NEW QUESTION # 72
How should a Data Cloud consultant successfully apply consent during segmentation?

  • A. Include Party Identification for any applicable channels of engagement in the filter criteria for each segment.
  • B. Include the Consent Status for any applicable channels of engagement in the filter criteria for each segment.
  • C. Include the Consent Status from the golden record during activation for any applicable channels of engagement.
  • D. Include the Unified Profile during segmentation for any applicable channels of engagement.

Answer: B

Explanation:
Understanding Consent Management in Salesforce Data Cloud:
* Consent management is crucial for maintaining compliance with data protection regulations like GDPR and CCPA. It ensures that customer data is used in accordance with their given permissions.


NEW QUESTION # 73
A user Is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?

  • A. Value suggestion will only return results for the first 50 values of a specific attribute,
  • B. Value suggestion requires Data Aware Specialist permissions at a minimum.
  • C. Value suggestion is still processing and takes up to 24 hours to be available.
  • D. Value suggestion can only work on direct attributes and not related attributes.

Answer: C

Explanation:
The most likely cause of this issue is that value suggestion is still processing and takes up to 24 hours to be available. Value suggestion is a feature that enables you to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature needs to be enabled for each DMO field, and it can take up to 24 hours for the suggested values to appear after enabling the feature1. Therefore, if a user is not seeing suggested values from newly-modeled data, it could be that the data has not been processed yet by the value suggestion feature. Reference:
Use Value Suggestions in Segmentation


NEW QUESTION # 74
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