DP-800 · Developing AI-Enabled Database Solutions
Each publication has a different job. Start with the guide that matches what you need now, or use them in sequence for the most complete JITA learning experience.
Build working judgment for AI-enabled database solution design.
This Field Guide develops a working mental model of AI-enabled database solution design. You will connect connect AI-enabled database workloads to data architecture, application access, APIs, and automation, choose vector, embedding, search, model, and retrieval patterns that fit the workload, reason about MCP, REST, GraphQL, stored procedures, external models, and application integration boundaries, and design security, identity, source control, deployment, and data-access controls. You are not just memorizing feature names; you are learning what owns the requirement, what can fail, and how to verify the outcome.
- ANN vs exact vector-search requirement
- database-owned AI operation vs external application/service orchestration
- successful model or API call vs verified data and application outcome
Prove your DP-800 judgment across AI-enabled database solution design under exam-style conditions.
This Exam Preparation Guide tests whether your understanding of AI-enabled database solution design survives realistic decision pressure. You will practice separating ANN vs exact vector-search requirement, database-owned AI operation vs external application/service orchestration, and successful model or API call vs verified data and application outcome. Each scenario is designed to make you identify the governing fact, reject the nearest plausible alternative, and explain the evidence that keeps the correct answer correct.
- ANN vs exact vector-search requirement
- database-owned AI operation vs external application/service orchestration
- successful model or API call vs verified data and application outcome
Understand it first. Then prove you can apply it.
The Field Guide builds the understanding. Use it when you need the architecture, mechanics, dependencies, tradeoffs, failure paths, and verification logic behind the certification.
The Exam Preparation Guide tests the judgment. Use it when you need to practice under exam-style conditions, distinguish close answers, and understand why the correct answer survives changed facts.
Recommended sequence: Field Guide → Exam Preparation Guide → return to the Field Guide for targeted remediation where needed.