Data Cloud Consultant Certification Practice Test 2026
Design and implement Data Cloud (now officially Data 360): ingestion, harmonization and unification, segmentation, and activation. Activations and ingestion together are nearly 40% of the exam.
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Exam Weight Distribution
Visualize the importance of each domain to optimize your revision strategy.
Data Cloud Consultant certification program structure
A modular method built for technical excellence, one domain at a time.
Solution Positioning
Data 360 terminology and business value, its role in predictive and generative AI, initial use cases, and data ethics and governance principles.
Data 360 Setup and Administration
Permissions and org-wide settings, applying governance to platform configuration, managing the development lifecycle, and troubleshooting common issues.
Data Source Connection and Ingestion
Data transformation capabilities, ingestion from varied sources, and data collaboration including Zero-Copy integrations.
Harmonization and Unification
The purpose and process of unification, identity resolution, and modeling data in Data 360.
Data Enhancements, Sharing, and Analysis
Enhance data and build insights, reference Data 360 data from other systems, build reports and dashboards, and apply predictive and generative AI.
Data Activations and Utilization
Segmentation concepts and use cases, managing segments, publishing activations, and acting on data from Salesforce flows.
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Data Cloud Consultant certification learning objectives
Activations & utilization
The heaviest domain at 20%: segmentation, publishing activations, and acting on unified data in flows.
Ingestion & enhancements
Data streams, transformations, Zero-Copy, insights, and AI (18% each).
Harmonization & unification
Identity resolution and modeling data into unified profiles.
Positioning & administration
Business value, AI foundations, data ethics, permissions, and governance.
Frequently asked questions
Everything you need to know about the Data Cloud Consultant exam.