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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Implement generative AI solutions | 25-30% | - Optimize and evaluate models
|
| Plan and manage Azure AI solutions | 25-30% | - Manage AI solution lifecycle
|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
| Implement agentic solutions | 20-25% | - Build AI agents
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
1. You have an Azure subscription.
You plan to build an app that will use the Azure AI DALL-E model.
You need to deploy the model.
What should you use?
A) Microsoft Foundry and the Azure Command Line Interface (CLI)
B) the Azure SDK for JavaScript and Azure Machine Learning Studio.
C) the Azure portal and Microsoft Graph API
D) the Azure SDK for Python and PowerShell cmdlets.
2. You are planning a Microsoft Foundry project named Project1 that will contain multiple agents.
Each agent will access the same Azure AI Search resource.
You need to recommend a solution to centrally manage the Azure AI Search credentials within Project1. The solution must be implemented across all the agents.
What should you recommend?
A) Add a connection to the Azure AI Search resource.
B) Create a managed private endpoint that connects to the Azure AI Search resource.
C) Enable role-based access control (RBAC) for the Azure AI Search resource.
D) Disable key-based access control on the Azure AI Search resource.
3. In mid-2026 you are starting a brand-new agentic application on Azure and want to build on the generally available, supported entry point for Foundry agents. Which API should you target?
A) The LUIS runtime API
B) The Assistants API
C) The legacy text Completions API
D) The Responses API via Foundry Agent Service
4. You have a Microsoft Azure AI Foundry project named Project1.
You plan to create an app named App1 that will connect to Project1 and chat by using a generative AI model.
You need to connect App1 to Project1 by using the Azure AI Foundry SDK. The solution must minimize development effort.
What should you configure in App1?
A) a SASCredentials object
B) an AIProjectClient object
C) a project scope key
D) a connection string
5. You have an Azure subscription that contains an Azure App Service app named App1.
You provision a Microsoft Foundry Service resource named CSAccount1.
You need to configure App1 to access CSAccount1. The solution must minimize administrative effort.
What should you use to configure App1?
A) the endpoint URI and an OAuth token
B) a system assigned managed identity and an X.509 certificate
C) the endpoint URI and a shared access signature (SAS) token
D) the endpoint URI and subscription key
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: D |




