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Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data Cloud Consultant Exam
Exam Number:Data-Cloud-Consultant
Available Languages:English
Recommended Training:Salesforce Trailhead Data Cloud Learning
Exam Registration:Salesforce Credentials
Sample Questions:Salesforce Data-Cloud-Consultant Sample Questions
Official Syllabus URL:https://trailhead.salesforce.com/credentials

Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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.
Topic 3
  • 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 4
  • 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.

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

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

Question #1

Northern Trail Outfitters (NTO) has a machine learning (ML) model trained externally in Amazon SageMaker to predict customer churn, and wants to use that model ' s inference inside Data 360 without duplicating data.
What should NTO do to achieve this?

  • A. Use an out-of-the-box Einstein Studio customer churn predictive model.
  • B. Use built-in Data 360 Calculated Insights.
  • C. Connect the trained model in Data 360 in Bring Your Own Model (BYOM).
  • D. Consume the predictions from the external platform as a data lake object (DLO).
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).

Question #2

A Data 360 Consultant is attempting to configure Data 360 in an existing Developer Pro sandbox that was refreshed prior to the organization purchasing Data 360 licenses. Although the consultant has the Data 360 Admin permission set assigned in production, they cannot see the Data 360 Setup menu or the Data Spaces configuration options in the sandbox. Which action should the consultant take to resolve this issue?

  • A. Update the Contract Management settings in the sandbox to toggle the Data 360 Features switch to enabled.
  • B. Refresh the sandbox immediately to pull the new metadata and license counts from production.
  • C. Navigate to Company Information in the sandbox and select Match Production Licenses.
  • D. Manually create the Data 360 Admin permission set in the sandbox to match the production configuration.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).

Question #3

A data architect is modeling a relationship between a custom Vehicle data model object (DMO) and the standard Individual DMO to track car ownership. The requirement states that one vehicle can be owned by only one individual, but one individual can own multiple vehicles. Which cardinality should the architect select when creating this relationship from Vehicle to Individual?

  • A. Many-to-Many (N:N)
  • B. One-to-Many (1:N)
  • C. One-to-One (1:1)
  • D. Many-to-One (N:1)
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).

Question #4

A financial services firm specializing in wealth management contacts a Data 360 Consultant with an Identity Resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios.
Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single unified profile to maintain personalized service and accurate financial advice.
Which Identity Resolution strategy should the consultant put in place?

  • A. Include a match rule that incorporates match on individual and contact point attributes.
  • B. Configure a single match rule based on contact phone number.
  • C. Use multiple contact points without individual attributes in the match rules.
  • D. Configure a single match rule with a single connected contact point based on address.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).

Question #5

A lead architect needs to build a real-time Customer Health Dashboard in a custom web portal that displays a unified customer ' s recent purchase history (Engagement data) and their calculated loyalty score. Which API strategy is most appropriate to meet this requirement?

  • A. Use the Metadata API to retrieve the schema of the unified profile, then use a standard REST GET call on the Individual object.
  • B. Use the Ingestion API to push the dashboard requirements into a data stream to trigger a webhook.
  • C. Use the Profile API because it is optimized for high-speed retrieval of unified profile attributes and calculated insights.
  • D. Use the Query API to send an SQL/SOQL-based request to join data to retrieve a comprehensive view.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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