Microsoft AI-300 Exam Questions & Verified Answers

Prepare for Machine Learning Operations Engineer Associate with expert-reviewed AI-300 questions and answers. Try free samples, strengthen your understanding and rehearse your timing in the simulator.

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Question 1

You need to configure access for the production chatbot solution. How should you configure the settings? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Question 2

You need to organize the production repository to support the prompt versioning workflow of Northwind Traders. How should you organize the repository? To answer, move the appropriate artifact organizations to the correct repository artifacts. You may use each artifact organization once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

Question 3

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen. You manage a Retrieval-Augmented Generation (RAG) application built on Microsoft Foundry. The application retrieves documents from an indexed knowledge base and generates answers for internal users. Recent feedback indicates that answers are fluent but sometimes include information that is not supported by the documents that were retrieved. You need to evaluate whether a proposed change improves RAG answer quality by using supported and measurable techniques. Solution: Run an A/B test comparing the current configuration with the proposed change and measure groundedness and relevance scores for each variant. Does the solution meet the goal?

Question 4

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen. You manage a Retrieval-Augmented Generation (RAG) application built on Microsoft Foundry. The application retrieves documents from an indexed knowledge base and generates answers for internal users. Recent feedback indicates that answers are fluent but sometimes include information that is not supported by the documents that were retrieved. You need to evaluate whether a proposed change improves RAG answer quality by using supported and measurable techniques. Solution: Review user feedback comments collected after deployment to determine whether answers appear more accurate. Does the solution meet the goal?

Question 5

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen. You manage a Retrieval-Augmented Generation (RAG) application built on Microsoft Foundry. The application retrieves documents from an indexed knowledge base and generates answers for internal users. Recent feedback indicates that answers are fluent but sometimes include information that is not supported by the documents that were retrieved. You need to evaluate whether a proposed change improves RAG answer quality by using supported and measurable techniques. Solution: Compare embedding vector dimensions used by the retrieval pipeline before and after the change. Does the solution meet the goal?

Question 6

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen. An organization provisions Azure Machine Learning workspaces for development, test, and production environments. Each environment must be deployed consistently and updated through source control. The deployment process must be automated, repeatable, and auditable. You need to deploy Azure Machine Learning resources in a consistent and controlled manner. Solution: Create Azure Machine Learning workspaces manually in the Azure portal for each environment. Does the solution meet the goal?

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Machine Learning Operations Engineer Associate

AI-300 Exam Topics and Study Plan

Guide sources checked: 24 October 2026

Skills Covered by the Exam

Use these topics from the linked official guide to plan your preparation for AI-300. Check the current guide before booking, because objectives can change.

Design and implement an MLOps infrastructure15–20%
Implement machine learning model lifecycle and operations25–30%
Design and implement a GenAIOps infrastructure20–25%
Implement generative AI quality assurance and observability10–15%
Optimize generative AI systems and model performance10–15%

Official exam weights describe the vendor’s blueprint. They do not measure coverage in this question bank.

Recommended Experience Before You Start

Before preparing for AI-300, check Microsoft's current eligibility and experience guidance. Compare the published objectives with work you have completed and plan hands-on practice for gaps.

Plan Your Revision

Suggested preparation sequence; adjust the pace to your experience.

1
Check the current objectives
Make a checklist from the official AI-300 objectives and mark the skills you can already demonstrate.
2
Build understanding
Study one objective at a time. Use official documentation and practical exercises to work on gaps.
3
Practise and review
Use the AI-300 question library to check your understanding. Review why each answer is correct before moving on.
4
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With paid access, run a timed simulation. Revisit weaker topics and repeat practical exercises before booking your exam.

Official Microsoft Study Resources

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