Embedding, Cross-Cloud, & Interoperability20% of the exam
CRM Analytics Metadata Bridge to semantic models
How the CRM Analytics Metadata Bridge turns the recipes and dataflows behind CRM Analytics dashboards into Data 360 objects and a Tableau Next semantic model, what each step of the new and extend flows controls, and what the bridge does not migrate.
Understand how Tableau Next integrates with Salesforce analytics platforms.
~8 min read · 15 practice questions
What the exam expects
- Recognise when the bridge fits reuse of CRM Analytics dashboard data, and what it needs to run.
- Put the bridge's steps in order and pick the control that scopes each step (dashboards, recipes and dataflows, DLOs, DMOs, workspace).
- Judge the impact of adding fields to an existing DLO and of leaving sources unmapped.
- Explain what the bridge does not migrate and where to review calculated-field results.
- Plan an extend run: what happens to the base model and which data space rules apply.
Key terms:
- CRM Analytics Metadata Bridge: a guided Setup flow that builds or extends a semantic model from CRM Analytics dashboards.
- DLO (data lake object): the Data 360 object that stores ingested source data.
- DMO (data model object): the Data 360 object that maps DLO data into a reusable model structure.
- Semantic model: the metadata layer that metrics, visualizations and Tableau Agent query.
Key facts
Run permissions
- Detail
- Data Cloud Architect, Tableau Next Admin and CRM Analytics Admin permission sets
Required setting
- Detail
- Data Pro - Semantic Model Curation (Beta), under Administration, Settings in Tableau Next
Unmapped source at DLO step
- Detail
- Excluded from the generated semantic model
Field added with Add All
- Detail
- Removable only from the DLO in Data 360
Failure reasons
- Detail
- Notes column of View Generation Details
Dataflows
- Detail
- Active version only; schedules not carried over; no composite keys
Numeric bucket range
- Detail
- Includes the start value, excludes the end value
Sources for this section (6)
- Bridge prerequisiteshelp.salesforce.com (opens in a new tab)
- Set Up Tableau Agenthelp.salesforce.com (opens in a new tab)
- Map fields and generate DLOshelp.salesforce.com (opens in a new tab)
- Calculated field resultshelp.salesforce.com (opens in a new tab)
- Metadata Bridge overviewhelp.salesforce.com (opens in a new tab)
- Recipe buckets as calculated fieldshelp.salesforce.com (opens in a new tab)
- Why does a generated model show "Annual Revenue" rather than the API-style field name?
- When do the calculated fields the bridge generates consume Agentforce credits?
- What can you do about a relationship loop among source objects during generation?
- When every object chosen in an extend run is already in the base, what does generation produce?
The questions are free to read. Answers with their sources and self-grading are included with the pack.
Keep reading with the Tableau Next Consultant pack
- Core concepts
- Exam traps
- Worked scenario
The pack includes:
- All 21 lessons of the Tableau Next Consultant guide, with reading progress
- Interactive decision walks and step-by-step sequence steppers
- Practice exams purchase adds inline bank questions and topic practice (15 questions for this lesson)
- An official source cited for every claim
- An AI tutor that answers from the guide
- Choose guide-only, practice-only, or save $4 with both