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Microsoft Certified: Azure AI Fundamentals — Requirements & Free Practice

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Microsoft Certified: Azure AI Fundamentals

Microsoft certification for foundational AI solution development on Azure, requiring examination AI-901.

Licensing authority: Microsoft · Application information

Initial by examination
Exam AI-901: Microsoft Azure AI Fundamentals
Candidate Knowledge
Conceptual Azure AI knowledge and foundational technical skills; Python syntax/programming and familiarity with Azure resources are the official candidate expectations, not an invented prior-credential prerequisite.
Date Boundaries
Official certification and initial-route inception/end dates are unpublished in the retrieved applicable requirement, so both remain null; April 15, 2026 dates the current English examination content, not the certification's inception.
Fees
Regional price and any taxes/offers are confirmed with the provider at registration; no fixed US price is inferred.
Registration
Use the official exam scheduling page and Learn profile; legal name must match Legal ID. A personal Microsoft account is recommended; organizational-account exam records may be lost on leaving the organization. Request required accommodations before scheduling. Online availability depends on the provider; online candidates must meet system/security requirements.
Scheduling
Rolling provider appointments, subject to availability; Pearson VUE permits no more than two concurrently scheduled Microsoft certification exams and scheduling no more than 90 days ahead. Normal individual/training-program delivery is Pearson VUE; academic candidates follow the officially offered Certiport option when present.
Scope
Current initial certification through the English AI-901 examination; not renewal or a state practice license.

Exam AI-901: Microsoft Azure AI Fundamentals

Passing score
700 on Microsoft's scaled technical-examination scale; not a percentage-correct requirement.
Examination outline

The authority publishes percentage ranges for each content area. The practice percentages below use the midpoint of each range, normalized to 100%; they are not exact percentages published by the authority. Practice question counts may differ slightly because of rounding.

  • Identify AI concepts and capabilities — Official range: 40–45% (Practice allocation: 42.5%)
    • Describe principles of responsible AI
    • Identify AI model components and configurations
    • Identify AI workloads
  • Implement AI solutions by using Microsoft Foundry — Official range: 55–60% (Practice allocation: 57.5%)
    • Implement generative AI apps and agents by using Foundry
    • Implement AI solutions for text and speech by using Foundry
    • Implement AI solutions with computer vision and image-generation capabilities by using Foundry
    • Implement AI solutions for information extraction by using Foundry
Examination sources