Product Description Exam Number/Code: Data-Cloud-Consultant
Exam Name: Salesforce Certified Data 360 Consultant (Data-Con-101)
Certification Provider: Salesforce
Corresponding Certification: Salesforce Data Cloud

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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.
Topic 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.
Topic 5	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.

Reference: https://trailheadacademy.salesforce.com/certificate/exam-data-cloud---Data-Con-101

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Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions:

Question #1

A global beverage company (data provider) and a sports media network (data consumer) are collaborating in a Data 360 clean room to identify high- value partnership opportunities. The parties decide to use the segment overlap use case template to determine how many of the beverage company ' s Premium Loyalty Members are also active subscribers of the sports network, without exposing raw personally identifiable information (PII).
When configuring the segment overlap template, which requirement must be met to allow the results to be filtered by specific demographics like " Region " or " Age Group " in the final output?

A. Both parties must map their " Region " and " Age Group " data to a shared calculated insight before joining the clean room.
B. The Region and Age Group fields must be set as foreign keys in the data model objects (DMOs) of both organizations.
C. The data provider must include these additional fields as segmentation attributes within the use case template configuration.
D. The Data 360 Consultant must configure a many-to-many relationship between the two search index data model objects (DMOs).

Reveal Solution Discussion 0

Correct Answer: C 🗳️