A company has a Microsoft Power Platform solution that contains the following components:• Microsoft Dataverse...

The goal is to use generative AI to answer questions based on a subset of corporate data, and to ensure that this data is available as a grounding data source.

The solution includes:

Dataverse tables

a Power BI workspace

a canvas app

a Power BI semantic model using DirectQuery to Dataverse

The best action is D. Endorse the semantic model.

Why D is correct:

Endorsing a semantic model makes it a trusted, discoverable enterprise data asset

It is the appropriate step when you want approved corporate data to be used reliably by downstream AI and analytics experiences

It fits the requirement of exposing a curated subset of data as a grounding source rather than duplicating or manually exporting it

Why the other options are not correct:

A. Export the semantic modelExporting does not make it a governed grounding source.

B. Share WS1Sharing the workspace grants access, but it does not establish the semantic model itself as the trusted data source for grounding.

C. Populate a Dataverse tableThe data already exists and is modeled through the semantic layer; creating another table is unnecessary for this requirement.