CertLabProMicrosoft Azure AI Fundamentals
175 perguntas de prática
Última revisão: April 2026
Notas pessoais e links de recursos para sua jornada de estudo
Filtrar por Certificação
Microsoft Azure AI Fundamentals (AI-900) validates conceptual knowledge of machine learning and AI workloads on Azure. It is aimed at non-engineering stakeholders — product managers, business analysts, sales engineers — and at engineers who need an Azure-flavored introduction to AI services. The exam is conceptual rather than hands-on: expect 40–60 questions in 45 minutes covering responsible-AI principles, supervised vs. unsupervised learning, Azure Machine Learning studio, Azure AI services (the family formerly called Cognitive Services), and Azure OpenAI Service. Generative AI carries the largest single weight in the current outline, reflecting Microsoft's 2024–2025 product focus.
Common AI workload types (computer vision, NLP, knowledge mining, document intelligence) and the six Microsoft Responsible AI principles (fairness, reliability, privacy, inclusiveness, transparency, accountability). Roughly 19% of questions.
Supervised vs. unsupervised vs. reinforcement learning, regression vs. classification vs. clustering, training-vs-inference flow, and the role of Azure Machine Learning studio and Automated ML. About 19%.
Azure AI Vision (image classification, object detection, OCR, Azure AI Document Intelligence) and Azure AI Face. Know which API to pick for which scenario.
Azure AI Language (sentiment, entity recognition, summarization), Azure AI Translator, and Azure AI Speech (speech-to-text, text-to-speech, translation).
Largest domain at 24%. Azure OpenAI Service, foundation-model concepts, prompt engineering basics, copilots, and grounding / RAG patterns. Reflects the post-2023 product reorganization.
$70k–$105k–$145k USD annual
AI-900 by itself does not unlock these salaries; it is a screening signal for non-engineering AI roles. Engineers move into the higher end by pairing it with AI-102 or DP-100 plus demonstrated experience. Markets outside coastal US trend lower.
Source: levels.fyi 2025 AI/ML adjacent roles, U.S. BLS OEWS May 2024 (15-2099 ML scientists), Glassdoor 2025. Figures are approximate; actual compensation depends on role, region, and experience.
AI-900 saw a sharp uptake through 2023–2025 as enterprises rolled out Microsoft Copilot and Azure OpenAI Service. Recruiters use it as a literacy filter for non-engineering AI roles — product, sales, consulting — and as evidence that an engineer is investing in the space. It is rarely a hiring requirement on its own, but it pairs naturally with AZ-900 (Azure literacy) or DP-900 (data literacy) and acts as the on-ramp to the engineering-track AI-102. Microsoft typically offers free AI-900 vouchers through Microsoft Learn AI Skills challenges several times a year.
There are no formal prerequisites. AI-900 is intentionally accessible to candidates with no prior data-science or programming background. Microsoft's free Microsoft Learn path covers everything assessed in roughly 10–15 hours of self-paced content; the included sandboxes let you click through Azure ML studio and the AI services without a paid subscription.
If you already hold AZ-900, expect to skip the cloud-fundamentals overlap and focus directly on AI-specific concepts (responsible AI, ML pipeline phases, generative AI patterns). If you are coming from AWS AI Practitioner (AIF-C01), most concepts transfer directly — the work is mapping AWS service names (Bedrock, SageMaker, Comprehend) onto their Azure equivalents (Azure OpenAI Service, Azure ML, Azure AI Language).
AI-900 is rated Fundamentals — one of the easier Microsoft exams. Plan on 15–25 hours of study over 2–3 weeks with no prior AI background; engineers with prior ML exposure often pass with 5–10 hours. The exam runs 45 minutes with 40–60 questions in mixed formats: multiple choice, multiple response, and drag-and-drop matching of services to scenarios. No case studies at the Fundamentals tier.
The most common stumbling block is keeping the renamed Azure AI service portfolio straight: Microsoft consolidated Cognitive Services under the "Azure AI services" umbrella in 2023, so older study material may use stale names. Allocate extra time to the generative-AI domain — it is the heaviest-weighted area and the most actively evolving.
Major refresh adding the generative AI domain (24% weight) and updating service names to the Azure AI services brand. Adds Azure OpenAI Service coverage. Microsoft refreshes AI-900 approximately yearly given the pace of GenAI changes.
Pre-Azure-OpenAI version. Domains were structured around Cognitive Services and classical ML; lacked dedicated generative AI coverage.
AI-900 (Microsoft Azure AI Fundamentals) is a considered an entry-level exam testing breadth of conceptual understanding rather than hands-on depth Foundational-level exam. Most candidates need 30–80 hours of study spread over 3–6 weeks for foundational-level exams. Most candidates who score consistently above the passing threshold on practice exams pass on their first attempt.