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Microsoft · azure ai
AI-300 validates MLOps and GenAIOps with Azure Machine Learning, Microsoft Foundry, MLflow, GitHub Actions, Bicep, and Azure CLI.
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Question bank updated on September 12, 2026
A machine learning engineer is working with a fraud model. The solution must use a supported Azure capability and remain reproducible. The required outcome is to establish the central resource for managing machine learning assets, jobs, compute, and endpoints. Which action should the user take?
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A timed 100-minute simulation, weighted by domain.
Practice domain by domain, with no time pressure.
The official syllabus organized with summaries and progress tracking.
The CertifyDeck AI-300 practice test includes 800+ original exam questions written from the official Microsoft Certified: Machine Learning Operations Engineer Associate skills outline, each with the correct answer explained and available in English and Spanish.
Practice by domain with a free online test, take a timed 100-minute mock exam weighted like the real test and review your mistakes. Start for free, no sign-up or credit card, and try the practice test before deciding.
Episodes from the CertifyDeck YouTube series: real-format questions with the answer explained.
Official weighting per domain. Start for free, no sign-up.
Machine learning engineers, data scientists, and DevOps professionals who operate production AI systems.
AI-300 validates that you can design, implement and operate MLOps and GenAIOps solutions on Azure. It combines Azure Machine Learning, Microsoft Foundry, MLflow, GitHub Actions, Bicep, Azure CLI, identity, networking and observability.
The profile sits between data science, machine learning engineering and DevOps. You must take traditional models and generative applications from development to production with automation, security, evaluation and monitoring.
ML lifecycle and operations is the main block at 25 to 30 percent, followed by GenAIOps infrastructure at 20 to 25 percent and MLOps infrastructure at 15 to 20 percent. Quality and observability and generative optimization contribute 10 to 15 percent each.
Practice a full flow: infrastructure as code, training and registration with MLflow, an endpoint with progressive deployment, alerts and retraining; then add Foundry, versioned prompts, evaluation, RAG and cost control.
CertifyDeck organizes original exercises according to the official guide in force since 5 March 2026. Scenarios train architecture and operations decisions without reproducing confidential exam content.
Start for free, no sign-up, review explanations in English or Spanish and use unseen mock exams at the end. See also the AI-300 pass guide and the detailed syllabus in our articles.
Official source: study guide AI-300 on Microsoft Learn
CertifyDeck is an independent study platform and is not affiliated with, endorsed by, or sponsored by Microsoft. AI-300 and its related marks belong to their respective owner.
Microsoft Certified: Machine Learning Operations Engineer Associate, focused on operating machine learning models and generative systems on Azure.
Python, data science and machine learning fundamentals, Git, the command line and a DevOps base. Practicing Azure Machine Learning and Microsoft Foundry is recommended.
It is the closest current path for machine learning operations after DP-100 was retired, but it broadens the scope with IaC, CI/CD and GenAIOps.
Microsoft requires a scaled score of 700 or higher. Always check the official guide before booking.
No. They are original exercises based on Microsoft's public objectives, created without confidential or leaked content.
Microsoft sets the price per country. USD 165 list price (varies by country; confirm on Pearson VUE when booking). CertifyDeck does not sell the exam, only the preparation: you can start for free and full access is a one-off fee per certification.
Microsoft does not publish an exact number; its exams usually have between 40 and 60 questions and AI-300 gives you 120 minutes. Our timed mock exam mirrors that length and the official domain weights.
Yes. You can start for free with no sign-up or card: AI-300 practice questions with explanations, a free online test by domain and published sample questions with answers. Full access to the whole bank and the timed mock exam is a one-off payment.
Not yet: Microsoft currently offers AI-300 in English only. On CertifyDeck you can practice in Spanish or English so you master the terminology before the real exam.
It is a good free starting point, but it is short and repeats the same items. A practice test with hundreds of original Microsoft Certified: Machine Learning Operations Engineer Associate questions, timed mock exams and practice by domain tells you where you fail and whether you keep the level under time pressure.
Five AI-300 exam questions with answers and explanations: Azure Machine Learning workspaces and environments, AutoML, managed identities in Foundry and automated evaluations.
Read articleWhat AI-300 certifies (Machine Learning Operations Engineer Associate), which profiles benefit, what it really requires and when another Azure or AI certification is the better choice.
Read articleEverything practical about the AI-300 exam: 120 minutes, 700 to pass, English only, booking through Pearson VUE, price by country, retakes, annual renewal and the official practice assessment.
Read articleWhere the real difficulty of AI-300 lies for three profiles: data scientist, DevOps or platform engineer, and generative AI application developer. Which domains you are missing and where to start.
Read articleWhat Microsoft offers for free to prepare for AI-300 (study guide, exam sandbox, practice assessment on AI Skills Navigator, Azure ML and Foundry documentation) and how to build your own lab from them.
Read articleAn up-to-date AI-300 study plan covering Azure Machine Learning and Foundry labs, practice tests, and a realistic six-week schedule.
Read articleStart free, no card