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Microsoft AI-103 Exam Syllabus Topics:

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

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have a Microsoft Foundry project that contains a prompt agent used by a customer support web app.
The agent is invoked from a Python service that does NOT run in the Foundry portal.
You need to implement end-to-end tracing to capture latency breakdowns and exceptions across agent runs.
Which two components can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A) Application Insights
B) a Log Analytics workspace
C) the Azure Monitor Agent
D) OpenTelemetry
E) Microsoft Sentinel


2. 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 legacy text Completions API
C) The Responses API via Foundry Agent Service
D) The Assistants API


3. Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have a multimodal AI generative model that accepts image uploads and uses extracted image text to generate responses.
You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model.
You need to implement controls to mitigate the risk.
Solution: You configure a prompt shield for documents.
Does this meet the goal?

A) Yes
B) No


4. 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) "auto"
B) {"type": "bing_grouding"}
C) "required"
D) {"type": "azure_ai-search"}


5. Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content.
You need to improve response completeness.
Solution: You increase the value of the max_tokensparameter.
Does this meet the goal?

A) Yes
B) No


Solutions:

Question # 1
Answer: A,D
Question # 2
Answer: C
Question # 3
Answer: A
Question # 4
Answer: B
Question # 5
Answer: B

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