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Welcome to the ultimate Salesforce Certified Data 360 Consultant Practice Tests, designed not just to help you pass the exam—but to make sure you own it.


About this certification

The Salesforce Certified Data 360 Consultant Exam is ideal for consultants who have experience implementing and consulting on Data 360 as well as other enterprise data platforms in a customer-facing role, including designing and configuring solutions. The Salesforce Certified Data 360 Consultant designs and applies maintainable and scalable customer business requirements and contributes to a customer’s long-term success.

About the Exam

Here are details about the Salesforce Certified Data 360 Consultant Exam.

• Content: 60 multiple-choice questions and up to five unscored questions

• Time allotted to complete the exam: 105 minutes

• Passing score: 70%

• Registration fee: US$200, JPY 30,000, plus applicable taxes as required per local law

• Retake fee: $100, JPY 30,000, plus applicable taxes as required per local law

• Delivery options: Proctored exam delivered onsite at a testing center or in an online environment; find more information on scheduling an exam here.

• References: No hard-copy or online materials may be referenced during the exam.

• Prerequisite: None

Exam Outline

The Salesforce Certified Data 360 Consultant Exam measures a candidate’s knowledge and skills related to the following objectives.

Solution Positioning: 14%

• Describe Data 360’s key terminology and business value.

• Articulate Data 360’s foundational role in generative and predictive AI.

• Identify initial use cases for Data 360.

• Describe the principles of data ethics and governance.

Data 360 Setup and Administration: 13%

• Configure Data 360 permissions, permission sets, and organization-wide settings.

• Apply data governance requirements to platform configuration.

• Manage the development lifecycle with available tooling.

• Use tooling to diagnose and troubleshoot common issues.

Data Source Connection and Ingestion: 18%

• Explain data transformation capabilities within Data 360.

• Describe processes and considerations for data ingestion from varied sources into Data 360.

• Describe Data 360’s data collaboration capabilities, including Zero-Copy.

Harmonization and Unification: 17%

• Define the purpose, process, and supported use cases of unification.

• Model data in Data 360.

Data Enhancements, Sharing, and Analysis: 18%

• Demonstrate how to enhance data and build insights on unified data.

• Explain how to reference Data 360 data from other systems.

• View and build reports and dashboards using Data 360.

• Apply predictive and generative AI tooling capabilities of Data 360 to customer scenarios.

Data Activations and Utilization: 20%

• Define basic concepts of segmentation and use cases.

• Manage segments within Data 360.

• Publish Activations within Data 360.

• Act on data.

• Use Data 360 in Salesforce flows.