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AI-300 MLOps Engineer Associate: 5 Practice Tests, 250 Qs
New
100 students
AI-300 MLOps Engineer Associate: 5 Practice Tests, 250 Qs
AI-300 Practice Tests: Operationalizing ML and GenAI, 250 Qs
Created byGeralt Omhof
Last updated 9/2026
English
What you'll learn
- Test your readiness for AI-300 with 250 questions across all five domains, weighted like the official skills outline
- Build, deploy and monitor ML models in Azure Machine Learning: pipelines, MLflow, endpoints, safe rollout and drift
- Choose the right Foundry deployment type, access role, network setup and PTU plan for GenAI workloads under constraints
- Evaluate, trace and optimize GenAI apps: quality and safety evaluators, Azure Monitor metrics, RAG tuning, fine-tuning
- Learn from feedback on every answer option plus an explanation with a Microsoft Learn link for every question
- Progress from core concepts through scenarios, trade-offs and implementation detail to a timed exam simulation
Explore related topics
Included in This Course
250 questions
Description
Are you ready for AI-300? These five timed practice tests tell you, domain by domain, before you book the exam.
AI-300, Operationalizing Machine Learning and Generative AI Solutions, is the exam for the Microsoft Certified: Machine Learning Operations Engineer Associate. This course contains 250 original questions written against the official AI-300 study guide (last updated March 5, 2026) and checked against current Microsoft Learn documentation, including the Microsoft Foundry naming and role names.
AI-300 replaced DP-100, which retired on June 1, 2026. The model lifecycle is still there, but the exam now expects you to think like an operations engineer: infrastructure as code with Bicep and the Azure CLI, GitHub Actions with OIDC, managed networks and private endpoints, managed identities and RBAC. Three domains, together 40 to 55 percent of the exam, cover generative AI operations on Microsoft Foundry: deployment types and provisioned throughput, prompt versioning, evaluation and safety, tracing and cost, RAG tuning and fine-tuning. DP-100 practice material prepares you for the wrong exam.
The five AI-300 tests build up in difficulty:
Test 1, Groundwork: core concepts, one idea per question.
Test 2, In Practice: short scenarios that separate features that are easy to confuse.
Test 3, Trade-offs: two answers look right, one constraint decides.
Test 4, Under the Hood: CLI, SDK, YAML, settings and limits.
Test 5, Exam Day: a full-length simulation with long, multi-constraint scenarios.
Every answer option has its own feedback, so you learn why a wrong answer is wrong and what it actually is. Every question also has an overall explanation with a link to the Microsoft Learn page it is based on.
Each test has 50 questions spread over the five exam domains in the official weighting, and Udemy reports your score per domain after each attempt. The pass mark is 80 percent for Tests 1 to 4 and 85 percent for Test 5, higher than the real exam on purpose.
What this course is not: it is not a video course and not a copy of real exam questions. It is a set of practice exams that test and explain. Use it alongside hands-on work in Azure and the free Microsoft Learn training for AI-300.
Frequently Asked Questions
Are these real exam questions?
No. All questions are original and based on the official exam objectives. They match the style, difficulty and topic weighting of the real exam, without copying it.
How do the five practice tests work?
The tests increase in difficulty. Start with Practice Test 1 to find your weak areas, study those topics and move on. Practice Test 5 is the hardest and serves as a final check before your exam.
Can I review my answers?
Yes. After each attempt you can review every question, with a detailed explanation of why the correct answer is right and why the other options are wrong.
What score should I aim for?
Each test has a passing score in line with the real exam. Aim for consistent scores of 85% or higher before booking your exam. You can retake every test as often as you like.
Are the questions up to date?
Yes. The questions follow the current official exam objectives and are updated when the exam changes.
Is this course enough to pass the exam?
These tests check your readiness and show your knowledge gaps. Combine them with the official learning materials and hands-on practice for the best results.
Who this course is for:
- This course is for anyone preparing for Microsoft exam AI-300, Operationalizing Machine Learning and Generative AI Solutions, which leads to the Microsoft Certified: Machine Learning Operations Engineer Associate certification. It fits data scientists who want to take models to production, DevOps and platform engineers moving into MLOps and GenAIOps, cloud engineers who support AI teams on Azure, and students or career changers who have worked through the Microsoft Learn material and want to know if they are ready. Solution architects and technical leads who need to understand how Azure Machine Learning and Microsoft Foundry are run in production will also find the scenarios useful. If you studied for DP-100, note that DP-100 retired on June 1, 2026. AI-300 keeps the model lifecycle, but adds infrastructure as code, GitHub Actions, networking and identity, and three generative AI domains on Foundry deployment, evaluation, observability, RAG and fine-tuning. Old DP-100 practice material will leave gaps. This course is a set of timed practice exams with detailed explanations. It tests and explains; it does not replace hands-on experience or a full training course.