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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement text and speech analysis solutions | 10–15% | - Implement natural language processing
|
| Topic 2: Implement generative AI and agentic solutions | 30–35% | - Build generative AI applications
|
| Topic 3: Plan and manage Azure AI solutions | 25–30% | - Design Azure AI infrastructure
|
| Topic 4: Implement information extraction and knowledge mining | 10–15% | - Extract structured data from documents
|
| Topic 5: Implement computer vision solutions | 10–15% | - Build multimodal solutions
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
1. Hotspot Question
You need to recommend a plan to create a customer support agent by using the Microsoft Foundry Agent Service. The agent must meet the following requirements:
- Retain user preferences across multiple conversations.
- Enable users to provide contextual grounding by directly uploading
documents during a chat.
Which Foundry capability should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
2. You have a factory that contains a production line.
You need to develop a solution that will analyze a video feed to detect and track the movement of employees as they work on the production line.
Which service should you include in the solution?
A) Azure Vision in Foundry Tools Image Analysis
B) Azure AI Face
C) Azure AI Video Indexer
D) Azure Vision in Foundry Tools Spatial Analysis
3. 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) {"type": "bing_grouding"}
B) "required"
C) {"type": "azure_ai-search"}
D) "auto"
4. You have a Microsoft Foundry project named Project1 that contains the following:
- An OpenAPI tool that calls an external API
- A project connection named Connection1 that stores the API key of the external API When an agent calls the OpenAPI tool, the API returns a 401 unauthorized error, and traces show that the API key header is NOT being sent.
You need to ensure that the OpenAPI tool automatically includes the API key from Connection1 on all requests.
What should you do?
A) Enable identity passthrough so that the tool uses the Microsoft Entra token of the caller.
B) Configure the tool to use the default connection of Project1.
C) Connect the tool to Connection1.
D) Add the API key header manually to the OpenAPI specification.
5. You have an Azure subscription that contains an Azure Al Foundry instance named AI1.
You have an app that automatically triages and resolves issues presented in the log files of a system.
You create an incident manager agent and a DevOps agent that collaborate to resolve the issues.
You need to ensure that the incident manager agent can assign work to the DevOps agent. The solution must minimize development effort.
What should you do?
A) Configure prompt flow for AI1.
B) Create a plugin for the DevOps agent.
C) Configure a connected agent for AI1.
D) Create a plugin for the incident manager agent.
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: C |



