TOP DATA-CLOUD-CONSULTANT FRENQUENT UPDATE 100% PASS | PROFESSIONAL NEW DATA-CLOUD-CONSULTANT EXAM TOPICS: SALESFORCE CERTIFIED DATA CLOUD CONSULTANT

Top Data-Cloud-Consultant Frenquent Update 100% Pass | Professional New Data-Cloud-Consultant Exam Topics: Salesforce Certified Data Cloud Consultant

Top Data-Cloud-Consultant Frenquent Update 100% Pass | Professional New Data-Cloud-Consultant Exam Topics: Salesforce Certified Data Cloud Consultant

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Salesforce Certified Data Cloud Consultant Sample Questions (Q51-Q56):

NEW QUESTION # 51
What are the two minimum requirements needed when using the Visual Insights Builder to create a calculated insight?
Choose 2 answers

  • A. A WHERE clause
  • B. At least two objects to Join
  • C. At least one measure
  • D. At least one dimension

Answer: C,D

Explanation:
Introduction to Visual Insights Builder:
* The Visual Insights Builder in Salesforce Data Cloud is a tool used to create calculated insights, which are custom metrics derived from the existing data.


NEW QUESTION # 52
A global fashion retailer operates online sales platforms across AMFR, FMFA, and APAC. the data formats for customer, order, and product Information vary by region, and compliance regulations require data to remain unchanged in the original data sources They also require a unified view of customer profiles for real-time personalization and analytics.
Given these requirement, which transformation approach should the company implement to standardise and cleanse incoming data streams?

  • A. Transform data before ingesting into Data Cloud.
  • B. Implement streaming data transformations.
  • C. Use Apex to transform and cleanse data.
  • D. Implement batch data transformations.

Answer: B


NEW QUESTION # 53
A user wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV).
Which sequence of data model object (DMO) joins is necessary within the calculated Insight to enable this calculation?

  • A. Sales Order > Unified Individual
  • B. Sales Order > Individual > Unified Individual
  • C. Unified Individual > Individual > Sales Order
  • D. Unified Individual > Unified Link Individual > Sales Order

Answer: D

Explanation:
To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the sequence of data model object (DMO) joins that is necessary within the calculated Insight is Unified Individual > Unified Link Individual > Sales Order. This is because the Unified Individual DMO represents the unified profile of an individual or entity that is created by identity resolution1. The Unified Link Individual DMO represents the link between a unified individual and an individual from a source system2. The Sales Order DMO represents the sales order information from a source system3. By joining these three DMOs, you can calculate the LTV of a unified individual based on the sales order data from different source systems. The other options are incorrect because they do not join the correct DMOs to enable the LTV calculation. Option B is incorrect because the Individual DMO represents the source profile of an individual or entity from a source system, not the unified profile4. Option C is incorrect because the join order is reversed, and you need to start with the Unified Individual DMO to identify the unified profile. Option D is incorrect because it is missing the Unified Link Individual DMO, which is needed to link the unified profile with the source profile. Reference: Unified Individual Data Model Object, Unified Link Individual Data Model Object, Sales Order Data Model Object, Individual Data Model Object


NEW QUESTION # 54
A customer is concerned that the consolidation rate displayed in the identity resolution is quite low compared to their initial estimations.
Which configuration change should a consultant consider in order to increase the consolidation rate?

  • A. Change reconciliation rules to Most Occurring.
  • B. Reduce the number of matching rules.
  • C. Include additional attributes in the existing matching rules.
  • D. Increase the number of matching rules.

Answer: D

Explanation:
The consolidation rate is the amount by which source profiles are combined to produce unified profiles, calculated as 1 - (number of unified individuals / number of source individuals). For example, if you ingest 100 source records and create 80 unified profiles, your consolidation rate is 20%. To increase the consolidation rate, you need to increase the number of matches between source profiles, which can be done by adding more match rules. Match rules define the criteria for matching source profiles based on their attributes. By increasing the number of match rules, you can increase the chances of finding matches between source profiles and thus increase the consolidation rate. On the other hand, changing reconciliation rules, including additional attributes, or reducing the number of match rules can decrease the consolidation rate, as they can either reduce the number of matches or increase the number of unified profiles. Reference: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Identity Resolution Ruleset Processing Results, Configure Identity Resolution Rulesets


NEW QUESTION # 55
A consultant needs to minimize the difference between a Data Cloud segment population and Marketing Cloud data extension count to determine the true size of segments for campaign planning.
What should the consultant recommend to filter the segments by to accomplish this?

  • A. User preferences for marketing outreach
  • B. Marketing Cloud Journeys
  • C. Business units
  • D. Geographical divisions

Answer: D


NEW QUESTION # 56
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