AI-103: Developing AI Apps and Agents on AzureDemo

The Azure Content Understanding skill (Microsoft.Skills.Util.ContentUnderstandingSkill) uses Azure Content Understanding document analyzers in Foundry Tools to extract both text and images while returning locationMetadata (page numbers and bounding-polygon/source position data) for each text chunk and each normalized image, which is exactly what's needed to build page-level citations with bounding regions for both content types. Critically, Microsoft's documentation states that for tables spanning multiple pages, the Azure Content Understanding skill can recognize and extract cross-page tables as a single unit — a capability the alternative Document Layout skill lacks (it outputs tables as plain text on a per-page basis and does not merge them across pages without additional custom logic). The Document Extraction skill does not provide text location metadata (no polygon/page-number data for text), and the GenAI Prompt skill is a generative/LLM skill for producing new content (e.g., summaries or image captions), not a content-extraction skill, so neither meets the stated requirements.