Study guide

Salesforce Data Cloud Consultant study guide

Read a lesson, then practice the ideas you want to remember.

Lessons

  1. Activation Configuration: Audience Mapping,
  2. Activation Schedules, Publishing Cadence & I
  3. Activation Targets: Marketing Cloud, Externa
  4. Activation Troubleshooting: Error Logs, Reje
  5. Auditing, Status Monitoring, Error Logs & Da
  6. Data Kits & Package Automation for Cross-Org
  7. Sandboxes, Change Management & Metadata Depl
  8. Calculated Insights Architecture, SQL/Builde
  9. CI vs. SI Architectural Decision Matrix & Pe
  10. Streaming Insights Architecture, Windowing &
  11. Applying Predictive & Generative AI Tooling
  12. Referencing Data 360 Data from Other Systems
  13. Reports, Dashboards & Tableau Analysis on Da
  14. DLO Configuration, Primary Keys, Event Time
  15. Streaming & Batch Data Transforms: Formula F
  16. Customer 360 Canonical Data Model & Subject
  17. Data Validation, Schema Maintenance & Field
  18. DLO-to-DMO Mapping Patterns, Cardinality & C
  19. Consent Management & Preference Enforcement
  20. Data Retention, Deletion, and Privacy Right-
  21. Regulatory Compliance, Data Privacy & Ethics
  22. Identity Resolution Concepts, Consolidation
  23. Match Rules & Match Criteria: Exact Match vs
  24. Multi-Party Identification, Anonymous-to-Kno
  25. Cloud Storage & Streaming Ingestion — Free Study Guide 2026
  26. Standard Bundles & Salesforce CRM Connectors
  27. Zero-Copy Data Federation & Snowflake/BigQue
  28. Data Action Targets & Webhook/Platform Event
  29. Data Cloud-Triggered Flows & Real-Time Busin
  30. End-to-End Enterprise Scenario Walkthrough:
  31. Reconciliation Rules: Most Frequent, Source
  32. Unified Profile Schema & Resolution Troubles
  33. Data Spaces Architecture, Resource Allocatio
  34. Standard Permission Sets, User Roles & Funct
  35. Direct vs. Related Attributes, Cardinality &
  36. Segment Membership Analysis, Population Drif
  37. Segment Schedule, Refresh Frequencies & Excl
  38. Segmentation Canvas, Segment Types & Query P
  39. Data 360's Foundational Role in Predictive &
  40. Architectural Foundation: Zero-Copy, Hyperfo
  41. Enterprise Customer 360 & Data Cloud Busines
  42. Platform Terminology, Core Entities & Data L