Practice Tests / Microsoft / AI-102
Microsoft
AI-102 Designing and Implementing a Microsoft Azure AI Solution
Prepare for AI-102 with original practice questions covering Azure AI services, Microsoft Foundry, responsible AI, search, vision, language, speech, document intelligence, and generative AI solution design.
Practice questions are provided in English to match the language commonly used in IT certification exams.
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VendorMicrosoft
CodeAI-102
DurationVaries by Microsoft exam delivery
Questions380 original practice questions
Exam facts
Objective-based preparation without unauthorized content
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Practice questions are provided in English to match the language commonly used in IT certification exams.
Question 1
PREVIEW / HIGH-VALUE SCENARIO:
Case study:
A solution team is preparing an Azure AI workload for production. A retailer needs image tagging, OCR, sentiment analysis, and a chatbot but wants the fewest separate provisioning steps. The team must satisfy security, operational, and maintainability requirements, and the implementation should align with Microsoft Foundry and Azure AI service patterns assessed by AI-102.
Which answer is the best design choice?
Refer to diagram VIS-11 in the Visual Questions sheet before answering.
Visual reference (VIS-11): Multi-service selection map
Question 2
PREVIEW / HIGH-VALUE SCENARIO:
You are designing an Azure AI solution for a customer. A bank wants a chatbot to refuse unsafe instructions and detect jailbreak attempts before calling downstream systems. The solution must use the most appropriate Azure AI capability while minimizing unnecessary custom code.
What should you recommend?
Refer to diagram VIS-03 in the Visual Questions sheet before answering.
Visual reference (VIS-03): Content safety pipeline
Question 3
PREVIEW / HIGH-VALUE SCENARIO:
A project team is implementing the following requirement: A healthcare solution must avoid shared secrets in code and must allow key rotation without application redeployment.
Select all answers that should be included in the design.
Refer to diagram VIS-02 in the Visual Questions sheet before answering.
Choose 2 answers.
Visual reference (VIS-02): Secure Foundry deployment
Question 4
PREVIEW / HIGH-VALUE SCENARIO:
Case study:
A solution team is preparing an Azure AI workload for production. A factory must run image analysis at the edge during network outages but still use Azure AI capabilities. The team must satisfy security, operational, and maintainability requirements, and the implementation should align with Microsoft Foundry and Azure AI service patterns assessed by AI-102.
Which answer is the best design choice?
Refer to diagram VIS-10 in the Visual Questions sheet before answering.
Visual reference (VIS-10): Container edge deployment
Question 5
PREVIEW / HIGH-VALUE SCENARIO:
A project team is implementing the following requirement: An operations team must investigate latency spikes and request volume for an AI resource.
Select all answers that should be included in the design.
Refer to diagram VIS-09 in the Visual Questions sheet before answering.
Choose 2 answers.
Visual reference (VIS-09): Monitoring and feedback
