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← Module 1 Β· AI-901: Azure AI Fundamentals
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Question Tactics and the One-Week Plan

How the questions actually behave

Single-choice β€” most of the exam. Usually one obviously wrong pair to eliminate, then two plausible answers separated by one distinction (classification vs. detection; Language vs. OpenAI; Document Intelligence vs. Vision). Slow down exactly at that final pair β€” the distinction being tested is usually a lesson-2 or lesson-4 taxonomy line.

Multiple-response β€” "select two/three." The count is given; trust it. Answer like a checklist, not a ranking.

Drag-and-drop matching β€” match services to scenarios or steps to order. These are gift questions if the lesson-2 table is solid; do them methodically, placing the ones you're certain of first β€” matching is process of elimination.

Hot-area β€” click regions or complete statements from dropdowns. Same knowledge, fussier interface; preview every dropdown before committing the first one.

Tactics that matter: there's no penalty for guessing β€” never leave a blank; mark-and- return exists β€” use it instead of stalling; the 60 minutes is genuinely generous, so your enemy is second-guessing, not the clock. And read for the qualifier words β€” prebuilt, custom, without writing code, your own data β€” each one usually eliminates half the options.

The one-week plan (calibrated to your head start)

Booking notes

One framing to keep: this exam is the floor, not the ceiling, of what you know. The prep here isn't about learning AI β€” it's about labeling what you already operate with the names Microsoft's answer key expects. Walk in accordingly.

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Ask the AI Tutor

Grounded in the course lessons β€” it cites its sources and says when it doesn't know.