All 6 domains
22 official objectives
71–83 hrs suggested study
-
Domain 01
14%
Solution Positioning checks whether you can explain what Salesforce Data 360 is, why a customer would buy it, how it grounds predictive and generative AI, which use cases to start with, and how to handle customer data responsibly.
Inside this domain
- 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.
Watch for Report solves it
- Objectives
- 4
Read the domain guide →
-
Domain 02
13%
Data 360 Setup and Administration covers provisioning and securing a Data 360 org: permission sets and org-wide settings, governance built into configuration, moving work between orgs with data kits and packages, and diagnosing common issues.
Inside this domain
- 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.
Watch for Admin for everyone
- Objectives
- 4
Read the domain guide →
-
Domain 03
18%
Data Source Connection and Ingestion covers getting data into Data 360 or reaching it in place: connectors and data streams, ingestion considerations, batch and streaming data transforms, and Zero Copy data collaboration with external platforms.
Inside this domain
- 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.
Watch for Streaming everything
- Objectives
- 3
Read the domain guide →
-
Domain 04
17%
Harmonization and Unification covers mapping ingested data into the Customer 360 Data Model and building unified profiles with identity resolution rulesets, match rules and reconciliation rules, plus the use cases unification supports.
Inside this domain
- Define the purpose, process, and supported use cases of unification.
- Model data in Data 360.
Watch for Contact on Individual
- Objectives
- 2
Read the domain guide →
-
Domain 05
18%
Data Enhancements, Sharing, and Analysis covers building insights on unified data, exposing Data 360 data to CRM and external systems, reporting with Data 360 reports and Tableau, and applying Einstein Studio and generative AI tooling to customer scenarios.
Inside this domain
- 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.
Watch for Streaming for lifetime
- Objectives
- 4
Read the domain guide →
-
Domain 06
20%
Data Activations and Utilization is the largest section. It covers segmentation concepts, managing segments, publishing activations to marketing, advertising and storage targets, acting on data with data actions, and using Data 360 in Salesforce flows.
Inside this domain
- Define basic concepts of segmentation and use cases.
- Manage segments within Data 360.
- Publish Activations within Data 360.
- Act on data.
- and 1 more objectives
Watch for Separate containers
- Objectives
- 5
Read the domain guide →
Domain names, weights and objectives come from Salesforce's official outline (Salesforce Certified Data 360 Consultant Exam Guide (Data-Con-101), aligned to the Spring '26 release (current as of October 2026)). Question counts and study hours are editorial planning estimates, not official figures. Last reviewed October 2026.