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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement agentic solutions | 20-25% | - Manage agent operations
|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Plan and manage Azure AI solutions | 25-30% | - Manage AI solution lifecycle
|
| Implement generative AI solutions | 25-30% | - Optimize and evaluate models
|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
1. Hotspot Question
You are building a model to detect objects in images.
The performance of the model based on training data is shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
2. You have a Microsoft Foundry project that contains an agent. The agent uses two tools to perform the following actions:
- Use Azure AI Search to retrieve answers from a private product
documentation index.
- Use the web search tool to retrieve public information on the
internet.
You need to ensure that for a specific run, the agent deterministically retrieves information only from the internet.
To what should you set tool_choice?
A) "required"
B) "auto"
C) {"type": "bing_grouding"}
D) {"type": "azure_ai-search"}
3. Hotspot Question
You have a Microsoft Foundry project that contains an agent.
The agent uses a stored access key to retrieve secrets from an Azure key vault, which violates a keyless-credentials requirement.
You need to ensure that the agent can retrieve the secrets. The solution must follow the principle of least privilege.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
4. You have a Microsoft Foundry project that contains an agent.
The agent ingests scanned PDF vendor invoices that contain tables and embedded QR codes.
The agent must preserve the PDF layout in the extracted output to ensure that downstream processing can reference sections and tables.
You plan to call Azure Content Understanding in Foundry Tools.
You need to extract content and layout elements and detect QR codes without requiring a language model deployment.
Which built-in analyzer should you use?
A) prebuilt-read
B) prebuilt-layout
C) prebuilt-documentFieldSchema
D) prebuilt-documentSearch
5. You have a custom agent named Agent1.
You need to control access to and monitor activity for Agent1 by using Microsoft Foundry.
What should you do first?
A) Add Agent1 to the Microsoft Foundry playground.
B) Create a Microsoft Foundry project.
C) Add Agent1to a Microsoft Foundry project.
D) Provision an Application Insights resource.
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: C | Question # 3 Answer: Only visible for members | Question # 4 Answer: B | Question # 5 Answer: B |






