Agentic Experiences25% of the exam

Analytics Agent Readiness and semantic model optimization

How to mark a semantic model ready for the Analytics Agent (Tableau Agent), set Primary Name Fields, respect the model features agents support, and use Semantic Model AI Optimization (Beta) and Similar Meanings (Beta) to find and fix description gaps, disconnected objects and ambiguous definitions.

Official exam objective
Explain how to assess and ensure Agentic readiness.

~7 min read · 19 practice questions

What the exam expects

  • Explain what the Analytics Agent Readiness property does, how a modeler enables it, and what happens to models without it.
  • Configure a Primary Name Field on a table or logical view and tell it apart from the primary key.
  • Recognise model features agents cannot use and the description practices that make data values interpretable.
  • Enable and read Semantic Model AI Optimization (Beta): the scan, the Optimize Model label, Model Health checks and recalculation.
  • Run and resolve Similar Meanings (Beta), including its statuses, review details and scope limits.

Key terms:

  • Analytics Agent Readiness: a model property marking a semantic model mature and usable by the Analytics Agent.
  • Primary Name Field: the field that names each record for display in agent answers.
  • Model Health: the overall AI-readiness rating, Low, Moderate or High, from AI Optimization checks.
  • Similar Meanings (Beta): an AI scan for definitions that are "two names for one thing" or "the same name for different things".

Key facts

Model not enabled for the agent
Detail
The agent displays an error message
Readiness checklist
Detail
Modeler checks every item by judgment; Enable activates only then
After enabling readiness
Detail
Development continues, aligned with the guidelines
Primary Name Field vs primary key
Detail
Display name vs unique identifier; settable on tables and logical views
Calculated Insights
Detail
Not currently supported in agentic semantic models
Enabling AI Optimization
Detail
Scans all semantic models; adds the Optimize Model label
Strength recalculation
Detail
Automatic on publish or save draft; manual from model, panel or management page
Similar Meanings statuses
Detail
Unresolved; Pending Evaluation once acted on
Similar Meanings scope
Detail
Names and descriptions; no parameters; no extended models
PDS-based models in the scan
Detail
Only Description and Field Visibility editable
Sources for this section (8)
  • What confirms in the builder that a model was enabled for the agent?
  • When you choose Clarify Field Description for a flagged pair, which existing feature can draft the new text?
  • When a reviewer faces a long list of pairs, which tip narrows it to pending work?
  • Why does Help call a meaningful Primary Name Field essential?

The questions are free to read. Answers with their sources and self-grading are included with the pack.

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