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Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement text analysis and information extraction solutions10-15%- Analyze and extract information
  • 1. Use document intelligence services
  • 2. Implement natural language processing
  • 3. Extract entities and structured data
Topic 2: Implement generative AI solutions25-30%- Develop generative AI applications
  • 1. Use Azure OpenAI and Foundry models
  • 2. Implement prompt engineering
  • 3. Build retrieval-augmented generation solutions
- Optimize and evaluate models
  • 1. Configure content filters and safety
  • 2. Evaluate responses and grounding
  • 3. Implement multimodal AI capabilities
Topic 3: Implement computer vision solutions10-15%- Analyze visual content
  • 1. Implement OCR and visual understanding
  • 2. Use multimodal vision APIs
  • 3. Process images and video
Topic 4: Plan and manage Azure AI solutions25-30%- Manage AI solution lifecycle
  • 1. Implement CI/CD for AI applications
  • 2. Apply responsible AI practices
  • 3. Monitor model and application performance
- Plan Azure AI resources
  • 1. Configure authentication and security
  • 2. Select Azure AI services and Foundry resources
  • 3. Manage deployments and monitoring
Topic 5: Implement agentic solutions20-25%- Build AI agents
  • 1. Create autonomous and multi-agent workflows
  • 2. Integrate tools and external knowledge
  • 3. Configure memory and orchestration
- Manage agent operations
  • 1. Monitor and debug agents
  • 2. Secure agent interactions
  • 3. Implement scalable deployments

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have a Microsoft Foundry project that contains three agents as shown in the following table.

You need to orchestrate the agents to ensure that the customer requests meet the following requirements:
- Support a deterministic, step-based process that uses conditional
branching and shared state across the agents.
- Optionally trigger a ticket action based on the triage result.
The solution must minimize development effort.
What should you include in the solution?

A) a workflow
B) threads and runs without a workflow
C) separate agent runs coordinated in the application code
D) a multi-agent group chat session


2. 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.


3. 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 AI Face
B) Azure Vision in Foundry Tools Image Analysis
C) Azure Vision in Foundry Tools Spatial Analysis
D) Azure AI Video Indexer


4. 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) Create a plugin for the DevOps agent.
B) Create a plugin for the incident manager agent.
C) Configure a connected agent for AI1.
D) Configure prompt flow for AI1.


5. A production application authenticates to Microsoft Foundry using an API key stored in an environment variable. Your security team requires that you remove hardcoded secrets and enable per-principal auditing of every call. Which approach meets both requirements?

A) Embed the API key in the deployment pipeline as a masked variable
B) Move the API key into Azure Key Vault and rotate it monthly
C) Share a single API key across services and restrict it with IP allow-listing
D) Authenticate with Microsoft Entra ID using a managed identity (keyless)


Solutions:

Question # 1
Answer: A
Question # 2
Answer: Only visible for members
Question # 3
Answer: C
Question # 4
Answer: C
Question # 5
Answer: D

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