AI-200 prep that fits
in your morning commute

Edureify AI uses scenario-based questions in AI-200's style - for example, choosing between Cosmos DB for NoSQL, PostgreSQL with pgvector and Azure Managed Redis for a given RAG requirement. When you miss one, it records whether you misunderstood the service or misapplied it to the scenario, which tells you whether to review docs or practice more comparisons.

Yes. Every question is tagged by AI-200 domain, so you can see whether you have been over-practicing containers while barely touching monitoring or messaging. With four domains weighted between 20% and 30%, that coverage view matters. Adaptive weighting then pulls later sessions toward the domains where your accuracy is lowest.

Start with the first-session diagnostic. AZ-204 holders usually score well on core service integration but lower on vector data services, RAG patterns, Container Apps scaling and OpenTelemetry. Edureify AI uses the diagnostic results to weight sessions toward those AI-200 gaps instead of re-drilling material you already know.

Enter the weak skill areas from your Microsoft score report. Edureify AI builds the plan around them, so if securing and monitoring came back low, you get more Key Vault, App Configuration, OpenTelemetry and KQL scenarios. Voice-first sessions let you add practice during a commute without carving out extra desk time.