Free AI-300 practice test

AI-300 is the Microsoft Machine Learning Operations Engineer Associate certification exam. This page gives you the full exam breakdown, how scoring works, and free unlimited practice weighted to the official skills outline. No paywall, no attempt caps.

AI-300 exam at a glance

Fact	Detail
Certification	Machine Learning Operations Engineer Associate (AI-300)
Level	Associate
Track	Data & AI
Format	About 50 questions in 120 minutes
Passing score	700 out of 1000 (scaled)
Typical prep time	4–6 weeks of consistent study
Question types	Multiple choice, drag-and-drop, case studies, and short scenarios

Intermediate; assumes some hands-on experience with the product. Most candidates who pass spend 4–6 weeks mixing official Microsoft Learn reading with hands-on practice. The AI-300 practice test on this page mirrors the real exam's domain weights, so your score here is a good estimate of your readiness.

How the AI-300 exam is scored

Microsoft scores every certification exam on a scale of 1 to 1000, and you need 700 to pass. This is a scaled score, not a percentage: the number of questions you must answer correctly shifts slightly with each exam form so that a 700 always represents the same level of ability. There is no penalty for guessing, so answer every question even if you are unsure. Unanswered questions are always marked wrong.

Your score report groups results by the skill areas below. A fail in one area with strong scores elsewhere still fails the exam overall, so use your report to target the weakest area first before rebooking.

Skills measured on AI-300

Microsoft publishes an official skills outline that lists every AI-300 topic area and its exam weight. The practice test here draws questions from each area in proportion to these weights.

Skill area	Exam weight	Questions in a 50-question exam	What to expect
Design and implement an MLOps infrastructure	~17%	9 of 50	Expect planning and deployment decisions, usually tested with multi-step scenarios.
Implement machine learning model lifecycle and operations	~27%	14 of 50	Expect planning and deployment decisions, usually tested with multi-step scenarios.
Design and implement a GenAIOps infrastructure	~22%	11 of 50	Expect planning and deployment decisions, usually tested with multi-step scenarios.
Implement generative AI quality assurance and observability	~12%	6 of 50	Expect planning and deployment decisions, usually tested with multi-step scenarios.
Optimize generative AI systems and model performance	~12%	6 of 50	Expect core feature knowledge and day-to-day configuration skills.

What the AI-300 exam covers

In plain terms, the exam checks whether you can do the job the certification describes. AI-300 covers Design and implement an MLOps infrastructure — about 17% of the exam; Implement machine learning model lifecycle and operations — about 27% of the exam; Design and implement a GenAIOps infrastructure — about 22% of the exam; Implement generative AI quality assurance and observability — about 12% of the exam; Optimize generative AI systems and model performance — about 12% of the exam. Treat this as a study checklist: work through each area until you can explain its tasks to a colleague without notes.

How to study for AI-300

A simple four-step plan works for most candidates and fits inside 4–6 weeks:

Read one domain at a time. Work through the official Microsoft Learn content for that domain before touching anything else. The weights above tell you where to spend the most time.
Check yourself with untimed practice. Take a free AI-300 Readiness Check on this page. It asks questions from every domain in official proportion, so your domain-by-domain score shows exactly where you are weak.
Drill the weak domains. Repeat short practice sets on your two weakest areas until both score comfortably above 70%.
Finish with a timed simulation. Rehearse the real format — 50 questions in 120 minutes — so pacing holds no surprises on test day.

Repeat the cycle until every domain is green. Candidates who follow it usually reach passing level inside 4–6 weeks of part-time study.

Start your free AI-300 practice

The AI-300 practice page offers unlimited free practice weighted to this exact outline. No signup is needed to take a Readiness Check; a free account saves your history so you can watch your domain scores improve over time.

Frequently asked questions about AI-300

What topics are on the AI-300 (Machine Learning Operations Engineer Associate) exam?

The exam is weighted to Microsoft's official skills outline and covers: Design and implement an MLOps infrastructure, Implement machine learning model lifecycle and operations, Design and implement a GenAIOps infrastructure, Implement generative AI quality assurance and observability, Optimize generative AI systems and model performance. MS Exam Lab generates practice questions for each domain so your score reflects real readiness.

How hard is the AI-300 exam?

Intermediate; assumes some hands-on experience with the product. Most candidates study 4–6 weeks of focused, hands-on prep.

How long does it take to study for AI-300?

Plan for roughly 4–6 weeks of consistent study, mixing official Microsoft Learn material with hands-on practice on MS Exam Lab.

What is the pass score for AI-300?

Microsoft uses a scaled score of 700 out of 1000 to pass AI-300. Practice with domain-weighted questions on MS Exam Lab to find and close gaps before test day.

Is there free AI-300 practice on MS Exam Lab?

Yes. MS Exam Lab offers free, unlimited AI-300 practice weighted to the official skills outline, with no paywall and no attempt caps. Timed exam simulations are available on the low-cost Pro tier.

More Microsoft certifications to practice

Browse every certification →

Sources: compiled from Microsoft's official skills outlines (Microsoft Learn). Maintained and kept current by the MS Exam Lab team.