Microsoft
AI-300 — Operationalizing Machine Learning and Generative AI Solutions Study Guide
AI-300 Questions
Full Study Guide
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All 85 questions with detailed answers and explanations.
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About the Microsoft AI-300 Exam
The AI-300 exam measures Design and implement an MLOps infrastructure, Implement machine learning model lifecycle and operations, and Design and implement a GenAIOps infrastructure. Use this page to review the current official syllabus, major domains, and source links before exam day.
AI-300 Skills Measured by Domain
Use these official domain weights to decide where to focus your study time — higher-weighted domains carry more questions on the exam.
| Domain | Weight |
|---|---|
| Design and implement an MLOps infrastructure | 15–20% |
| Implement machine learning model lifecycle and operations | 25–30% |
| Design and implement a GenAIOps infrastructure | 20–25% |
| Implement generative AI quality assurance and observability | 10–15% |
| Optimize generative AI systems and model performance | 10–15% |
Source: Official Microsoft Learn study guide.
Plan Your Exam With Official Guides
Use these supporting pages to review the official syllabus, exam-day expectations, and related certification guides before you study.
- AI-300 syllabus and skills measured Review official topics and study priorities.
- Microsoft exam experience Read vendor-level scheduling and exam-day guidance.
- More Microsoft certification guides Open the full blog subsection for this vendor.
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Complete question bank covering all exam domains and objectives.
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Read 50 of the 85 questions right now, with full explanations, no signup required. Browse the free question bank →.
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AI-300 — Frequently Asked Questions
What is the Microsoft AI-300 exam?
The Microsoft AI-300 exam — Operationalizing Machine Learning and Generative AI Solutions — is a professional IT certification exam offered by Microsoft. Passing this exam earns you the Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate certification, a widely recognized credential in the IT industry. It is organized into 5 official exam domains: Design and implement an MLOps infrastructure (15–20%), Implement machine learning model lifecycle and operations (25–30%), Design and implement a GenAIOps infrastructure (20–25%), Implement generative AI quality assurance and observability (10–15%), and Optimize generative AI systems and model performance (10–15%).
How many practice questions are included?
This study guide contains 85 practice questions, each with an expert-verified correct answer and a detailed explanation. Questions cover all exam domains and objectives.
Is there a free sample available?
Yes — 50 of the 85 questions are free to read online with full explanations, no signup required. Browse the free question bank →
When was this AI-300 study guide last updated?
This study guide was last updated on 2026-07-09. We regularly refresh our materials to reflect the latest exam content and objectives so you're always studying current material.
What file formats do I receive?
After purchase you receive two files: an interactive HTML file with show/hide answer toggles (ideal for studying on screen) and a PDF file (ideal for printing or offline study). Both work on any device — desktop, tablet, or phone.
How much does the AI-300 study guide cost?
The Microsoft AI-300 study guide costs $19 (discounted from $63). This is a one-time payment with no subscriptions or hidden fees.
How do I get my files after payment?
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Why choose CertBlaze over other providers?
CertBlaze offers the lowest price at $19 per exam — competitors charge $50-$300 for similar content. All study materials are expert-verified, updated monthly, and include a free bank of 50 questions with no signup required. You get instant access to both HTML and PDF formats after payment.