Microsoft Azure AI Fundamentals (AI-901) Practice Questions

AI-901 replaces AI-900 (which officially retired on June 30, 2026). While AI-900 focused heavily on classical machine learning workloads, AI-901 has been heavily re-architected to focus on Generative AI, automated agents, and practical implementations using Microsoft Foundry. It also introduces basic Python SDK code comprehension at the fundamental level — a new requirement not present in AI-900. Our practice questions reproduce these new Foundry-focused scenarios with detailed answer explanations that reference the exact Microsoft Foundry Python SDK documentation, so you can learn the correct code patterns for model deployment, agent creation, and speech synthesis configuration.

No. Access to Microsoft Learn via an integrated split-screen is an advantage reserved exclusively for Associate and Expert-level role-based exams. Fundamentals-level exams (such as AI-901) do not permit documentation access. You must memorize key differentiators such as when to use generative AI versus classical ML workloads, how to configure basic Responsible AI content filters, and the difference between computer vision, NLP, and speech workloads. Our practice test helps you identify knowledge gaps before test day by presenting the same question formats without Microsoft Learn access — the same constraints you will face at the test center.

Like all Microsoft Fundamentals-level certifications, the credential earned by passing AI-901 does not expire and does not require annual renewals. This is different from Associate and Specialty-level certifications which expire after one year. Once you pass AI-901, your credential remains active on your Microsoft Learn transcript permanently. Our practice materials include a dedicated FAQ section explaining the certification validity rules, and the downloadable PDF includes a comparison table of fundamentals vs. associate vs. specialty certification expiration policies.

If you do not pass on your first attempt, you must wait 24 hours before you can retake it. If a third attempt is needed, a mandatory 14-day waiting period is enforced between subsequent testing appointments. Microsoft caps you at a maximum of 5 attempts within any rolling 12-month period. Each retake requires a new exam fee ($99 USD for fundamentals exams) unless you purchased an exam voucher bundle with a retake included. Our mock exam reproduces the exact question formats you will face — including single-choice, multiple-choice, drag-and-drop, and dropdown list completion — so you can identify knowledge gaps before using an attempt.

The mock exam includes code comprehension questions where you must interpret Python SDK snippets for Foundry model deployment, AI agent creation and interaction, speech recognition configuration, and speech synthesis parameter setup. Each practice question includes a detailed explanation that walks through the code logic — why a specific Foundry Python SDK method is required, how to configure generative AI agent parameters, and when to use speech-to-text versus text-to-speech workloads. The practice test enforces the same 60-minute timer (fundamentals exams are shorter than associate-level exams), so you can practice time management without Microsoft Learn access.

Yes, the complete question bank is available as a downloadable PDF that packages both domains in the same weighted distribution as the real exam. The PDF includes detailed answer explanations with references to official Azure AI and Microsoft Foundry documentation, Python SDK code samples for Foundry model deployment and agent interaction, and comparison tables of AI-901 vs. AI-900 differences. Because AI-901 is a fundamentals exam with no Microsoft Learn access during the test, the PDF emphasizes memorization of key differentiators — such as when to use generative AI versus classical ML workloads, Responsible AI principles, and multimodal model selection criteria — all formatted for offline review during commutes or in environments without reliable internet access.

Set up a Microsoft Foundry project and deploy at least two generative AI models (such as a text generation model and a multimodal image analysis model). Write basic Python SDK code to interact with the deployed models, create a simple AI agent that answers questions using a knowledge base, and configure speech synthesis with at least three voice parameters. Practice responsible AI content filter configuration using Azure AI Content Safety, then test the filters with sample prompts. When you can read and understand simple Foundry Python SDK code snippets without referencing documentation, the AI-901 scenario questions become straightforward applications of your hands-on experience.