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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and manage Azure AI solutions | 25-30% | - Plan Azure AI resources
|
| Topic 2: Implement agentic solutions | 20-25% | - Build AI agents
|
| Topic 3: Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Topic 4: Implement generative AI solutions | 25-30% | - Optimize and evaluate models
|
| Topic 5: Implement computer vision solutions | 10-15% | - Analyze visual content
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
1. Hotspot Question
You have a Python application named App1 that integrates with a Microsoft Foundry project named Project1.
You need to ensure that App1 meets the following requirements:
- Authenticates by using a Microsoft Entra managed identity
- Sends prompts to a deployed model by using the Azure OpenAI Responses API How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
2. Hotspot Question
You have a Microsoft Foundry project.
- You need to create a customer support agent that meets the following
requirements:
- Grounds responses only in company policy documents stored in curated
repositories
- Retains customer preferences across separate chat sessions
How should you configure the agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
3. You have an Azure subscription.
You plan to build an app that will use the Azure OpenAI DALL-E model.
You need to deploy the model.
What should you use?
A) the Azure portal and Microsoft Graph API
B) the Azure SDK for JavaScript and Azure Machine Learning Studio
C) the Azure SDK for Python and PowerShell cmdlets
D) Azure AI Studio and Azure Command-Line Interface (CLI)
4. You are defining an agent in Microsoft Foundry Agent Service. The agent uses a catalogue model for reasoning, a system instruction that sets its goals, and a file search capability that reads a knowledge store. Which three components does this combination represent?
A) Embedding, retriever, generator
B) Trigger, action, condition
C) Model, instructions, tools
D) Endpoint, API key, deployment name
5. Hotspot Question
You develop a test method to verify the results retrieved from a call to the Azure Vision in Foundry Tools API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: Only visible for members | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: Only visible for members |
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