AI-901
Microsoft Azure AI Fundamentals (Refreshed), exam AI-901, validates foundational knowledge of AI concepts together with hands-on skills for building AI solutions on Microsoft Foundry. It refreshes the retired AI-900 around the Foundry platform and spans two areas. First, identifying AI concepts and capabilities: common AI workloads (generative and agentic AI, text analysis, speech, computer vision, and information extraction), generative and foundation models, model selection and configuration (temperature, max tokens), and Microsoft's responsible AI principles. Second, implementing AI solutions with Microsoft Foundry: the Foundry portal and SDK, prompt engineering, deploying and interacting with models, building single-agent solutions, multimodal vision and speech, and information extraction with Azure Content Understanding. No coding is required, so it suits both technical and non-technical learners who want to prove practical, up-to-date Azure AI skills.
50
45 min
700/ 1000
200+
Technical and non-technical learners who want to understand AI concepts and build practical AI solutions on Microsoft Foundry — including developers new to Azure AI and product, business, and operations roles that need working AI literacy. No prior AI or coding experience is required.
No coding or data-science background required. Basic familiarity with cloud concepts and general AI terminology is helpful. If you previously studied AI-900, focus on the Microsoft Foundry-centric changes: agents, prompt engineering, Azure Content Understanding, and multimodal vision and speech.
Globally recognized and broadly applicable across countries.
Identify AI concepts and capabilities
Implement AI solutions by using Microsoft Foundry
Try the practice set directly and judge real-exam similarity yourself.
Q. How is AI-901 different from AI-900?
A. AI-901 is the Azure AI fundamentals exam refreshed around Microsoft Foundry. It keeps AI-900’s concepts (Vision/Language/Speech/AI Search/ML role boundaries) and adds generative and agentic AI plus model selection, RAG grounding, and agents on Foundry. It is still fundamentals-level.
Q. Do generative AI and agents appear?
A. Yes — generative AI concepts and uses, RAG grounding, the role of agents, and Responsible AI. Being a fundamentals exam, choosing the right approach/service matters more than writing code.
Q. Do I need coding skills?
A. Not deeply. It centers on understanding concepts, choosing services, and the effect of model settings (temperature/max tokens). Practicing case-based choices stabilizes your score more than memorizing terms.
Q. How do practice questions and the timed mock exam differ?
A. Practice questions are solved by topic with answer explanations to shore up weak areas; the timed mock exam is taken like the real thing. Both use original questions with AI tutor explanations.
Q. Is this similar to exam dumps?
A. PasslyExam does not provide leaked dumps. Our content is built from official guides and public exam objectives, then tuned to reflect realistic question patterns and difficulty distribution. The focus is practical readiness with explanation-based learning, not memorization of leaked items.
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