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Data-Cloud-Consultant Premium Exam Questions

Salesforce Certified Data 360 Consultant (Data-Con-101) Questions and Answers

Question 13

A Data 360 Consultant created a calculated insight that can be seen when ' Segmenting On ' Individuals on the segmentation canvas but not Unified Individual. What is the reason for this?

Options:

A.

The consultant doesn ' t have the correct permissions to see the calculated insight for Unified Individual segments.

B.

The calculated insight is missing a relationship to the Unified Individual data model object (DMO).

C.

The data space for the Unified Individual is different than the Individual data model object (DMO).

D.

Calculated insights can ' t be used for the Unified Individual data model object (DMO).

Question 14

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?

Options:

A.

Sales Order > Unified Individual

B.

Unified Individual > Individual > Sales Order

C.

Sales Order > Individual > Unified Individual

D.

Unified Individual > Unified Link Individual > Sales Order

Question 15

A Data 360 Consultant is performing a source system inventory for Northern Trail Outfitters (NTO). During the review of the standard data model, the consultant identifies several business- specific fields in the source system that do not have a corresponding field in the standard data model objects (DMOs). Following best practices for mapping preparation, which action should the consultant take?

Options:

A.

Extend the relevant standard DMOs by adding custom fields to accommodate the missing data.

B.

Ignore the business-specific fields and map only the fields that exist in the standard DMOs.

C.

Create a new custom DMO for every business-specific field identified in the source system.

D.

Map the business-specific fields to the " Other " category to avoid modifying the standard model.

Question 16

When preparing to build a predictive AI model in Einstein Studio using Data 360 data, which step is essential to ensure the model produces ethical and unbiased results?

Options:

A.

Disabling all calculated insights before starting the training process

B.

Ensuring the training dataset contains at least 10 million records

C.

Auditing training data to identify which segments of the customer base are underrepresented

D.

Using only unstructured data to prevent pattern recognition