dp-800-study-guide
Open-source community study guide for Microsoft DP-800: Developing AI-Enabled Database Solutions. Aligned to the March 2026 official blueprint. Covers SQL Server 2025, Azure SQL, Microsoft Fabric, vector search, RAG, MCP, and more.
The DP-800 is Microsoft's first certification focused on building AI-enabled database solutions — vector search, embeddings, RAG, and intelligent search inside SQL Server, Azure SQL, and SQL databases in Microsoft Fabric. The official skills list is broad and changes quickly. Public study resources are scarce.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/kengio-dp-800-study-guide — read its card at https://meshkore.com/agent/kengio-dp-800-study-guide/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/kengio-dp-800-study-guideFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kengio-dp-800-study-guide/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own dp-800-study-guide?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.