What is inside the AI-300 guide
150 practice questions
Original scenario questions mapped to every exam domain.
Every option explained
Why the answer is right and why each distractor is wrong.
Study plan
A week by week plan weighted by domain, plus a cheat sheet.
Interview questions
The questions employers ask for roles that need this certification.
About the AI-300 exam
Operationalizing Machine Learning and Generative AI Solutions (AI-300) is the exam for the Microsoft Azure Machine Learning Operations Engineer Associate certification. AI-300 replaced DP-100 (Azure Data Scientist Associate), which retired on June 1, 2026. Our guide follows the official exam outline dated February 18, 2026.
| Passing score | 700 / 1000 |
| Level | Associate |
| Exam time | 120 minutes |
| Core platforms | Azure Machine Learning + Microsoft Foundry |
AI-300 exam domains and weights
| Domain | Weight |
|---|---|
| Design and implement an MLOps infrastructure | 15 to 20% |
| Implement machine learning model lifecycle and operations | 25 to 30% |
| Design and implement a GenAIOps infrastructure | 20 to 25% |
| Implement generative AI quality assurance and observability | 10 to 15% |
| Optimize generative AI systems and model performance | 10 to 15% |
Try 5 free AI-300 practice questions
Pick an answer to see the correct option and a full explanation.
A GitHub Actions workflow must create Azure Machine Learning jobs. The security team bans long lived client secrets stored in GitHub. How should the workflow sign in to Azure?
Correct answer: B
OpenID Connect lets GitHub exchange a short lived token for an Azure token through a federated credential, so no secret is stored in GitHub at all.
You run a scikit-learn training script as a command job and want parameters, metrics and the model logged with almost no code changes. What should you add to the script?
Correct answer: D
In Azure Machine Learning jobs the MLflow tracking URI is set for you, so mlflow.autolog() records parameters, metrics and the model for supported libraries with one line.
An app on Azure Container Apps calls a model deployment in a Microsoft Foundry project. The rule is no API keys anywhere. What should you do?
Correct answer: A
A managed identity with role based access gets tokens at runtime, so no key exists to store or leak.
A RAG app sometimes adds facts that are not in the retrieved documents. Which evaluation metric measures this directly?
Correct answer: C
Groundedness checks whether the claims in a response are supported by the given context, so it catches made up facts.
Users search manuals with exact part numbers like X7-220 and also with plain questions. Pure vector search often misses the part numbers. What should you use?
Correct answer: B
Hybrid search runs keyword and vector queries together and merges the results, so exact codes and meaning based matches both rank well.
Want the full AI-300 question bank?
The complete AI-300 study guide covers every exam domain with original questions, an explanation for every option, a four week study plan, a cheat sheet and interview questions. Get the complete guide.
A four week AI-300 study plan
- Week 1: MLOps infrastructure (15 to 20%)
- Week 2: Model lifecycle and operations (25 to 30%)
- Week 3: GenAIOps infrastructure (20 to 25%)
- Week 4: Quality, observability and optimization (20 to 30%)
Frequently asked questions
Are these real AI-300 exam questions?
No. Every question is original and written to the official AI-300 exam objectives. They match the style and difficulty of the exam without copying exam content.
Is this guide updated for the current AI-300 exam?
Yes. We review each guide whenever the provider changes the exam outline, and buyers get updated versions free.
How do I get the guide after paying?
You get an instant download link on screen and by email. The guide is a PDF that works on any device.
Can I try it before buying?
Yes. Answer the free practice questions on this page. Each one shows the correct answer and a full explanation, so you can judge the quality before you buy.