# Data 360 as the foundation for AI

*Data 360 Consultant Study Guide · Solution Positioning · Last updated October 16, 2026 · https://www.certifyforce.com/study-guide/data-360-consultant/solution-positioning/data-360-as-the-foundation-for-ai*

Why agents and models need unified, clean, real-time and governed data, how Data 360 grounds generative AI through RAG and search indexes, what the Einstein Trust Layer stores in Data 360, and the three ways AI Models (formerly Einstein Studio) delivers predictions.

- Certification: Salesforce Data 360 Consultant
- Exam section: Solution Positioning
- Study guide: https://www.certifyforce.com/study-guide/data-360-consultant

**Official exam objective:**

> Articulate Data 360's foundational role in generative and predictive AI.

## What the exam expects

- Explain why agents and models need unified, cleansed, real-time and governed data, and match an agent's weakness to the Data 360 capability that fixes it.
- Describe how Data 360 grounds generative AI with retrieval augmented generation (RAG) over search indexes.
- Name the Einstein Trust Layer protections and the audit and feedback data Data 360 stores.
- Choose between building a model in AI Models, bring your own model (BYOM) and bring your own large language model (BYOLLM).
- Position Zero Copy federation as a way to feed agents and models without copying data.

Key terms: **grounding** adds business or customer context to a prompt; **RAG** retrieves relevant content, augments the prompt with it, then generates; **search index** stores chunked, vectorized content from a DMO; **AI Models** (formerly Einstein Studio) is Data 360's home base for predictive and generative models; **audit trail** is the prompts, responses and trust signals logged in Data 360.

## Key facts

| Fact | Detail | Source |
|---|---|---|
| Agent data foundations | Unified profiles, transforms, real-time, zero copy, RAG, guardrails and analytics | [Data 360 in Flows and Data 360-Powered Agents](https://trailhead.salesforce.com/content/learn/modules/data-cloud-act-on-data/power-automation-with-flows-and-agents) |
| Real-time ingestion | Web or mobile app data stream or Ingestion API, in milliseconds | [Explore Real-Time Features in Data 360](https://trailhead.salesforce.com/content/learn/modules/real-time-use-cases-in-data-cloud/explore-real-time-features-in-data-cloud) |
| Real-time prerequisite | Real-time data graphs are required to use other real-time capabilities | [Explore Real-Time Features in Data 360](https://trailhead.salesforce.com/content/learn/modules/real-time-use-cases-in-data-cloud/explore-real-time-features-in-data-cloud) |
| Search index storage | Chunks in a CDMO, vector embeddings in an IDMO | [Use Search for AI, Automation, and Analytics](https://help.salesforce.com/s/articleView?id=data.c360_a_search_index_ground_ai.htm&language=en_US&type=5) |
| Zero data retention | Third-party LLMs retain no data and use none for training | [Einstein Trust Layer](https://help.salesforce.com/s/articleView?language=en_US&id=sf.generative_ai_trust_layer.htm&type=5) |
| Audit storage | Prompts, responses, trust signals and toxicity scores logged in Data 360 | [Einstein Trust Layer](https://help.salesforce.com/s/articleView?language=en_US&id=sf.generative_ai_trust_layer.htm&type=5) |
| Audit prerequisite | Turn on generative AI data collection and storage; install the report package | [Audit Trail](https://help.salesforce.com/s/articleView?id=ai.generative_ai_audit_trail.htm&language=en_US&type=5) |
| AI Models paths | Create from scratch, BYOM (SageMaker, Vertex AI, Databricks), BYOLLM | [Analyze Data and Build Predictive Models](https://trailhead.salesforce.com/content/learn/modules/data-cloud-analyze-and-predict/analyze-data-and-build-predictive-models) |
| AI Models and trust | Integrated in Data 360, so it sits under the Einstein Trust Layer | [Analyze Data and Build Predictive Models](https://trailhead.salesforce.com/content/learn/modules/data-cloud-analyze-and-predict/analyze-data-and-build-predictive-models) |

## Check yourself

- Why can't BYOLLM connect a Databricks table to Data 360?
- When should a consultant recommend real-time ingestion for an agent?
- Where are Trust Layer toxicity scores stored?
- Why does AI Models sit under the Einstein Trust Layer?

## Sources

- [Data 360 in Flows and Data 360-Powered Agents](https://trailhead.salesforce.com/content/learn/modules/data-cloud-act-on-data/power-automation-with-flows-and-agents)
- [Analyze Data and Build Predictive Models](https://trailhead.salesforce.com/content/learn/modules/data-cloud-analyze-and-predict/analyze-data-and-build-predictive-models)
- [Einstein Trust Layer](https://help.salesforce.com/s/articleView?language=en_US&id=sf.generative_ai_trust_layer.htm&type=5)
- [Audit Trail](https://help.salesforce.com/s/articleView?id=ai.generative_ai_audit_trail.htm&language=en_US&type=5)
- [Use Search for AI, Automation, and Analytics](https://help.salesforce.com/s/articleView?id=data.c360_a_search_index_ground_ai.htm&language=en_US&type=5)
- [Enhance Agents with Business Knowledge Using RAG](https://trailhead.salesforce.com/content/learn/modules/retrieval-augmented-generation-quick-look/augment-prompts-with-relevant-knowledge)
- [Explore Use Cases for Zero Copy Data Federation](https://trailhead.salesforce.com/content/learn/modules/data-cloud-with-zero-copy/explore-use-cases-for-zero-copy-data-federation)
- [Explore Real-Time Features in Data 360](https://trailhead.salesforce.com/content/learn/modules/real-time-use-cases-in-data-cloud/explore-real-time-features-in-data-cloud)
- [Get to Know Data 360 Governance](https://trailhead.salesforce.com/content/learn/modules/data-cloud-governance-quick-look/get-to-know-data-cloud-governance)
- [Measure the Value of Data 360](https://trailhead.salesforce.com/content/learn/modules/data-cloud-discover-the-value/measure-the-value-of-data-cloud)

## About the full unit

The "Core concepts", "Exam traps" and "Worked scenario" sections of this unit, its 11 linked practice questions, and unlimited timed mock exams are included with the Data 360 Consultant pack (USD $19): https://www.certifyforce.com/practice-exams