The best diagnostic is short enough that you will actually take it and specific enough that it changes what you study next. That is the purpose of this page. It is a routing page for honest study decisions, not a promise machine.
How the 15-minute diagnostic works
- Pick the route closest to your current target role or platform.
- Answer a small set of original practice questions in about 15 minutes.
- Review the explanations, not just the score.
- Move immediately into the related roadmap, flashcards, or projects for the weak areas.
Choose your diagnostic track
Microsoft AI fundamentals
Use this if you need current Microsoft AI fundamentals, responsible AI, Foundry basics, language, speech, vision, and content understanding gaps.
AIF-C01 fundamentals diagnosticAWS AI practitioner
Use this if you want AWS AI, managed services, Bedrock concepts, generative AI, governance, and responsible-use gap detection.
AB-730 business diagnosticAI-assisted business work
Use this if your work centers on prompting, grounded output, review, adoption, and responsible AI-assisted business outcomes.
AI-103 developer diagnosticApps and agents on Azure
Use this if you need to test Azure AI app, agent, retrieval, multimodal, evaluation, and operational reasoning.
AI-300 operations diagnosticAzure AI operations
Use this if your target work includes operationalizing machine learning and generative AI solutions in Azure.
MLA-C02 engineering diagnosticAWS ML and GenAI operations
Use this if you need to test data, deployment, monitoring, security, and generative AI operations reasoning on AWS.
How to interpret the result without overclaiming
| Diagnostic result band | What it probably means | Best next move |
|---|---|---|
| 0-40% | The current route may be too deep or the foundations are not stable yet. | Move to the roadmap and basics first; do not chase more timed practice yet. |
| 41-70% | You have partial recognition but inconsistent reasoning. | Review explanations, then do targeted flashcards and one small project segment. |
| 71-85% | Your understanding is workable but still has weak clusters. | Use the roadmap to patch weak objectives and retest after hands-on work. |
| 86%+ | You may be on the right track for this short slice, but the sample is still small. | Expand coverage, build or review project evidence, and keep validating across other objectives. |
These bands are study signals, not pass predictions. A short diagnostic can overstate or understate your real readiness because it samples only part of the domain. Use it as a steering wheel, not a verdict.
What to do immediately after the diagnostic
Pair the diagnostic with flashcards for retrieval practice and projects for real evidence. If you discover that the route is wrong for your role, that is a success, not a failure. A 15-minute diagnostic should save you from spending 15 weeks on the wrong path.
Frequently asked questions
Does this diagnostic predict whether I will pass the live exam?
No. It is a short gap-finding tool that helps you choose the next study block and the right practice route. It does not predict a live exam result, interview outcome, or hiring decision.
How should I use my result?
Use it to identify weak domains, then move into the matching roadmap, flashcards, and project work. A short diagnostic is most useful when it changes what you study next.
Which track should I start with if I am unsure?
Choose the track closest to the job you want next. If you are still at broad AI literacy level, start with AI-901, AIF-C01, or AB-730 rather than a deeper operations path.
First-party sources
- https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/
- https://aws.amazon.com/certification/certified-ai-practitioner/
- https://learn.microsoft.com/en-us/credentials/certifications/ai-business-professional/
- https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-103
- https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-300/
- https://learn.microsoft.com/en-us/credentials/certifications/exams/sc-500/
- https://aws.amazon.com/certification/certified-machine-learning-engineer-associate/
Source status last checked 2026-09-12. Providers can update objectives, pricing, dates, regions, and policies after publication.