About the Exam

Salesforce Certified Data 360 Consultant is for customer-facing consultants with experience implementing and consulting on enterprise data platforms. The exam validates ability to design, configure, and implement Data 360 solutions for customer data strategy and unified Customer 360 outcomes. It covers Data 360 setup and administration, data ingestion and modeling, identity resolution, segmentation and insights, and activation across Salesforce applications.

Exam Topics

  • Solution Positioning14%
  • Data 360 Setup and Administration13%
  • Data Source Connection and Ingestion18%
  • Harmonization and Unification17%
  • Data Enhancements, Sharing, and Analysis18%
  • Data Activations and Utilization20%

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Last updated June 23, 2026 at 1:15 PM

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QuestionQ1

Data Enhancements, Sharing, and Analysis

An organization wants to enable users to identify and select text attributes from a picklist of options.

Which Data 360 feature should support this use case?

  • A Global picklists
  • B Data harmonization
  • C Value suggestion
  • D Transformation formulas
Explanation

Value Suggestion can be enabled for Text data type fields and lets users select suggested attribute values from a dropdown list when entering a value in the segment builder. Salesforce Help: Edit Data Model Object Properties

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QuestionQ2

Harmonization and Unification

Northern Trail Outfitters (NTO) has fragmented customer data across its marketing, sales, and service systems. NTO decides to implement Data 360 to enhance its customer strategy.

How does Data 360 primarily help NTO address this business challenge?

  • A It archives historical transaction records for 10 years to meet regulatory data retention requirements.
  • B It provides a data security layer that encrypts sensitive information to ensure global GDPR compliance.
  • C It creates automated weekly business intelligence dashboards to help managers forecast sales revenue.
  • D It unifies data into a single profile to provide personalized experiences across all touch points.
Explanation

Data 360 consolidates data from disparate sources into unified customer profiles through identity resolution. These profiles create a single customer view that can be activated to deliver personalized experiences across channels and touchpoints.

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QuestionQ3

Data Source Connection and Ingestion

A Data 360 Consultant needs to show related engagement records from external systems on the Contact record page by using a standard related list in Data 360.

Which step must they complete before configuring the related list?

  • A Ingest the data stream as a streaming connector.
  • B Establish a relationship between the individual data model object (DMO) and the Engagement DMO.
  • C Include the external engagement data in a calculated insight.
  • D Enable the engagement data for segmentation.
Explanation

A Data 360 related-list enrichment for an Engagement-type DMO requires a single many-to-one relationship from the Engagement DMO to the Individual DMO or Unified Individual DMO, using the Individual ID or Unified Individual ID primary key. This relationship associates each engagement record with the person whose Contact page displays it.

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QuestionQ4

Data Source Connection and Ingestion

A global insurance provider has assigned a Data 360 Consultant to optimize performance for analytical queries that run several times per hour against an external Redshift table in Salesforce Data 360, with no real-time requirement.

Which federation approach should the consultant recommend to balance performance and cost?

  • A Ingest the external data into Salesforce Data 360 as a standard object.
  • B Implement file federation exclusively using Data 360 compute on storage.
  • C Configure cached acceleration to store and refresh external data for repeat queries.
  • D Use live query federation so every request hits the external compute engine directly.
Explanation

Cached acceleration retrieves external data into a local Data 360 cache and refreshes it at a chosen frequency. This improves performance for repeated queries and reduces the need to execute every query directly against Amazon Redshift; the absence of a real-time requirement makes scheduled cache refreshes appropriate.

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QuestionQ5

Data Enhancements, Sharing, and Analysis

Northern Trail Outfitters (NTO) is loading transaction data into Data 360. The source data contains Order ID, Order Date, and Total Amount, which map to the standard Sales Order data model object (DMO). NTO also needs to store a unique Sustainability Packaging Fee for every transaction, but this field is unavailable in the standard model.

Which modeling approach should a Data 360 Consultant recommend to meet this requirement?

  • A Map all fields to a new Custom DMO specifically created for NTO transactions.
  • B Use Sales Order DMO and map the packaging fee to the Order Description field.
  • C Map standard fields to the Sales Order DMO and add a custom attribute for the fee.
  • D Create a calculated model to derive the sustainability fee using a streaming data transform.
Explanation

A transaction-specific field that is not represented by the standard Sales Order DMO should be added as a custom attribute while the standard fields remain mapped to the Sales Order DMO. This preserves the standard sales-order model and its semantics while capturing the organization-specific fee. Salesforce Data 360 mapping supports adding a new field to a DMO when no existing DMO field represents a source field.

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