A company is building a prompt about product specifications.

Dataverse table columns are the appropriate knowledge source for a prompt that must use Retrieval-Augmented Generation with current business information. Grounding the prompt with selected Dataverse data allows the model to incorporate governed product specifications at runtime instead of relying only on its pretrained knowledge. The maker can identify the relevant table and columns and then pass or retrieve the business context required by the prompt. A PNG image is an input artifact, not the structured knowledge source needed for specification retrieval. Plain text can provide fixed instructions or context but does not create a maintained enterprise data source. A PDF can be useful in other grounding experiences, but under the available prompt knowledge options in this scenario, the Dataverse table provides the direct, structured, updateable source. Access remains subject to environment and table security, so only approved data should be exposed to the prompt. The AB-410 Study Guide explicitly measures the ability to “add knowledge to a prompt.” Selecting Dataverse table columns implements that objective while minimizing duplication of product data.

Study Guide reference/topic: “Create prompts and models in AI Hub — Add knowledge to a prompt.” AB-410 Study Guide | Microsoft Learn technical reference