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Salesforce Data-Cloud-Consultant Practice Test Questions Answers

Exam Code: Data-Cloud-Consultant (Updated 114 Q&As with Explanation)
Exam Name: Salesforce Certified Data 360 Consultant (Data-Con-101)
Last Update: 17-Oct-2026
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Questions Include:

  • Single Choice: 114 Q&A's

  • Data-Cloud-Consultant Overview

    Salesforce Data-Cloud-Consultant Exam Overview

    Feature Detail
    Exam Format Multiple-choice and multiple-select questions
    Number of Questions 60
    Time Allotted 105 minutes
    Passing Score 62%
    Exam Topics  
      Topic
      Solution Overview
      Data Cloud Setup and Administration
      Data Ingestion and Modeling
      Identity Resolution
      Segmentation and Insights
      Act on Data

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    Salesforce Data-Cloud-Consultant Exam Topics Breakdown

    Topic Weighting
    Solution Overview 18%
    Data Cloud Setup and Administration 12%
    Data Ingestion and Modeling 20%
    Identity Resolution 14%
    Segmentation and Insights 18%
    Act on Data 18%

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    The Salesforce Data-Cloud-Consultant exam validates your expertise in designing and implementing Data Cloud solutions for customers.

    The Salesforce Data-Cloud-Consultant exam is ideal for professionals who work with Data Cloud solutions, including consultants, architects, and data professionals. If youre involved in designing, implementing, or advising on Data Cloud projects, this certification is relevant for you.

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    The Salesforce Data-Cloud-Consultant exam covers various areas related to Data Cloud, such as:

    • Understanding Data Cloud positioning and business value
    • Designing and implementing Data Cloud solutions
    • Customer success strategies
    • Sustainable and scalable practices
    • Data Cloud capabilities and features

    The Salesforce Data-Cloud-Consultant exam consists of 60 multiple-choice questions.

    The Salesforce Data-Cloud-Consultant exam consists of 60 multiple-choice questions.

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    Data-Cloud-Consultant Questions and Answers

    Question # 1

    A global ecommerce brand tasks a Data 360 Consultant with resolving duplicate customer records originating from a web portal, a mobile app, and a physical point-of-sale system. The goal is to ensure that a customer is recognized as the same individual across all three sources to provide a consistent service experience. Which feature should the consultant configure to achieve this outcome?

    A.

    Matching rules within the Identity Resolution settings to link source records

    B.

    Data transform logic to normalize naming conventions during the ingestion process

    C.

    Partitioning strategies to separate data based on the original source system

    D.

    Streaming insights to detect real-time changes in customer contact information

    Question # 2

    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 Query API to send an SQL/SOQL-based request to join data to retrieve a comprehensive view.

    C.

    Use the Profile API because it is optimized for high-speed retrieval of unified profile attributes and calculated insights.

    D.

    Use the Ingestion API to push the dashboard requirements into a data stream to trigger a webhook.

    Question # 3

    An architect is managing a Full Sandbox that is used for performance testing of Data 360 segments. The team decides to perform a sandbox refresh to bring over the latest Schema changes and record updates from the production environment. What is the impact of this refresh on the existing Data 360 configuration within that sandbox?

    A.

    The sandbox maintains its connection to the existing Data 360 instance, but all data mapping is reverted to Draft status.

    B.

    Only the identity resolution rules are deleted, while data streams remain active and continue to pull data from the refreshed sandbox objects.

    C.

    The Data 360 instance is deleted and a new, blank Data 360 instance must be provisioned after the refresh.

    D.

    All Data 360 metadata is replicated from the current version of production instance, and the ingested records are cleared and must be re-ingested.

    Question # 4

    A Data 360 Consultant is configuring an activation for a segment created from the Unified Individual object to be sent to a Loyalty Cloud activation target. They would like to include the Loyalty Program Tier for personalization, but this field is stored in a separate Loyalty Program Member data model object (DMO) that was not used in the initial segment filters. Which feature should the consultant use during the activation setup to include this external identifier in the exported payload?

    A.

    Calculated insights to join the Loyalty Program Tier to the Unified Individual prior to segmentation

    B.

    Contact point priority to rank the Loyalty Program Tier above the standard Individual ID

    C.

    Activation membership to select the Loyalty Program Member DMO and its associated fields

    D.

    Data stream mappings to re-map the Loyalty Program Tier as a secondary key on the Individual object

    Question # 5

    Which permission setting should a Data 360 Consultant check if a custom Salesforce CRM object is not available in New Data Stream configuration?

    A.

    Confirm the View All object permission is enabled in the source Salesforce CRM org.

    B.

    Confirm the Ingest object permission is enabled in the Salesforce CRM org.

    C.

    Confirm the Create object permission is enabled in the Data 360 org.

    D.

    Confirm the Modify object permission is enabled in the Data 360 org.

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