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Microsoft AI-103 Exam Syllabus Topics:

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

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have an Azure subscription that contains an Azure OpenAI resource named AI1.
You build a chatbot that uses AI1 to provide generative answers to specific questions.
You need to ensure that questions intended to circumvent built-in safety features are blocked.
Which Azure AI Content Safety feature should you implement?

A) Prompt Shields
B) Moderate text content
C) Protected material text detection
D) Monitor online activity


2. You have a Microsoft Foundry project.
You plan to build a customer support solution that contains an agent. The solution must meet the following requirements:
- Provide accurate, context-aware responses grounded in internal
product documentation stored in Azure AI Search.
- Require deep, multi-step reasoning across long contexts.
- Generate detailed natural language responses.
Which type of model should you use to power the agent?

A) a large language model (LLM)
B) a small language model (SLM)
C) a multimodal model
D) a key phrase extraction model


3. You are designing a solution that will answer questions about human resources (HR) policies stored in the PDF format.
You need to ensure that the identical answer to a specific question is returned every time. The solution must minimize development effort.
Which service should you include in the solution?

A) Azure OpenAI
B) Azure AI Language
C) Azure Machine Learning
D) Azure AI Document Intelligence


4. Hotspot Question
You have a Microsoft Foundry project that contains an agent.
The agent uses tools to retrieve internal content and call external APIs. The agent is configured to let the model decide when to call the tools.
You need to publish the agent for a compliance workflow. The solution must meet the following requirements:
- Each workflow run must include a retrieval step before generating a
response.
- Tool calls must authenticate by using the published agent's own
identity.
- Tool access must use an identity isolated from other project
resources.
- Tool access must use support audit tracing.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


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 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


Solutions:

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

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