Data Enhancements, Sharing, and Analysis18% of the exam
AI models, vector and hybrid search
Matching customer scenarios to Data 360 AI tooling: AI Models sources and capabilities (regression, binary classification), where active predictions are used, and vector versus hybrid search indexes with their chunk and index objects and use cases.
Apply predictive and generative AI tooling capabilities of Data 360 to customer scenarios.
~7 min read · 13 practice questions ·
What the exam expects
- Choose the AI Models (formerly Einstein Studio) capability for a prediction: regression for a number, binary classification for one of two outcomes.
- Distinguish Custom, Connected and Salesforce-Enabled models, and say where an active model's predictions can be used.
- Choose vector or hybrid search from how users phrase queries, and explain how each index is built and stored.
- Match Data 360 (formerly Data Cloud) search to RAG, service, sales, automation and analytics use cases, and name the apps that query an index.
- Explain legacy "Data Cloud" and "Einstein Studio" labels during the rebrand.
Key terms:
- AI Models: the Data 360 tab for building, connecting and managing predictive and generative models.
- Vector embedding: a numerical representation of a unit of text that captures its semantic meaning.
- Chunk DMO (CDMO): stores the content chunks of a search index.
- Index DMO (IDMO): stores the vector embeddings of a search index.
- Hybrid search: vector search plus keyword search, with merged and ranked results.
Key facts
Regression
- Detail
- Predicts a number
Binary classification
- Detail
- Predicts one of two outcomes
Active model predictions
- Detail
- Used in flows or batch transforms
Connected model platforms
- Detail
- AWS SageMaker, Google Vertex AI, Databricks
Einstein Studio rename
- Detail
- AI Models, spring 2026
CDMO
- Detail
- Stores content chunks
IDMO
- Detail
- Stores vector embeddings
Index consumers
- Detail
- Prompt Builder, AI agents, Tableau
Hybrid ranking factors
- Detail
- Configurable, such as recency or popularity
Data 360 rebrand
- Detail
- October 14, 2025; functionality unchanged
- Why does a CDMO show text but no vectors?
- When is vector search enough without hybrid?
- Where can an active AI Models prediction be used?
- Which apps run vector searches on a Data 360 index?
The questions are free to read. Answers with their sources and self-grading are included with the pack.
Keep reading with the Data 360 Consultant pack
- Core concepts
- Exam traps
- Worked scenario
The pack includes:
- All 22 lessons of the Data 360 Consultant guide, with reading progress
- Interactive decision walks and step-by-step sequence steppers
- Inline practice questions and one-click topic practice (13 questions for this lesson)
- An official source cited for every claim
- An AI tutor that answers from the guide
- Unlimited timed practice exams