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Microsoft · AI-901 · Beginner

Microsoft Azure AI Fundamentals (beta)

Microsoft Azure AI Fundamentals (AI-901, beta) demonstrates fundamental AI concepts related to the development of software and services on Microsoft Azure to create AI solutions. The April 15, 2026 update reorganizes the curriculum around Microsoft Foundry, responsible-AI principles, generative and agentic AI, text/speech/vision implementation, and information extraction with Azure Content Understanding. 50+ KI-generierte Übungsfragen mit Erklärungen. Kostenlos testen, Bestehensgarantie.

Kostenlos testen

7 Tage kostenlos testen, keine Kreditkarte nötig

50 Fragen
45min Zeitlimit
700/ 1000 Bestehensgrenze

Über die Prüfung

Exam AI-901: Microsoft Azure AI Fundamentals (beta) validates foundational knowledge of AI and machine learning concepts and the ability to implement basic AI solutions using Microsoft Foundry (formerly Azure AI Foundry). It is the successor/beta refresh of AI-900, reoriented around generative AI, agents, and the Foundry platform. The exam is aimed at candidates at the beginning of an AI solution development career who have conceptual knowledge of Azure AI services plus foundational technical skills, including familiarity with Python syntax and Azure resources. Earning the cert demonstrates you can identify AI workloads, apply responsible AI principles, and build lightweight generative AI, text, speech, vision, and information-extraction solutions in the Foundry portal and SDK.

Was geprüft wird

Approximately 40-50 questions in 45 minutes. Item formats include multiple choice, multiple response, true/false, drag-and-drop (matching/sequencing), and build-list/dropdown selection. A scaled score of 700 or greater (out of 1000) is required to pass. Most questions cover generally available (GA) features, though commonly used preview features may appear. Because this version emphasizes Foundry, expect hands-on-flavored items about deploying models, writing system/user prompts, and using the Foundry SDK.

Identify AI concepts and responsibilities 42%

Principles of responsible AI (fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability); AI model components and configurations (how generative AI models work, model selection by capability, deployment options); AI workloads (generative and agentic AI, text analysis, speech recognition and synthesis, computer vision, information extraction). Official range: 40-45%.

Implement AI solutions by using Microsoft Foundry 58%

Generative AI apps and agents (system/user prompts, model deployment in the Foundry portal, lightweight chat client with the Foundry SDK, single-agent solutions); text and speech solutions (text analysis app, multimodal speech prompts, Azure Speech in Foundry Tools); computer vision and image generation (visual input interpretation with multimodal models, generative visual outputs); information extraction with Azure Content Understanding (documents, forms, images, audio, video). Official range: 55-60%.

Was dich erwartet

multiple choice
42%
drag drop
18%
multiple response
18%
dropdown selection
12%
true false
10%

Wo Kandidaten scheitern

Common pitfalls: (1) Confusing the six responsible AI principles - especially reliability and safety vs. accountability, and privacy and security vs. transparency. (2) Mixing up Azure AI service boundaries - e.g., using Azure AI Vision (OCR/image analysis) vs. Azure AI Document Intelligence (prebuilt forms) vs. Azure Content Understanding (schema-defined multimodal extraction). (3) Assuming fine-tuning when the correct grounding approach is RAG. (4) Forgetting that Content Safety covers four harm categories (hate, sexual, violence, self-harm) with severity levels, plus Prompt Shields for jailbreak/indirect attacks. (5) Confusing evaluation metrics (groundedness vs. relevance vs. coherence vs. fluency). (6) Over-attributing capabilities to a single GPT model vs. dedicated services.

Prüfungslogistik

Delivered online (proctored) or at a Pearson VUE test center. Scheduled through Microsoft Learn. Passing score is 700/1000. As a Fundamentals certification it does not expire and requires no annual renewal. Standard Microsoft retake policy applies (24-hour wait after a first failure; escalating waits thereafter; limited attempts per 12 months). Candidates may request additional time for non-native-language exams.

Prüfungsart Online proctored or Pearson VUE test center
Wiederholungsregelung 24-hour wait after first failure; 14-day wait for subsequent retakes; maximum 5 attempts per 12 months
Karrieremöglichkeiten Entry point for AI-focused roles and a foundation for role-based certifications such as Azure AI Engineer Associate (AI-102) and Azure Data Scientist Associate. Relevant for aspiring AI developers, app developers adding AI features, and technical professionals adopting generative AI and agents.
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