Microsoft Developing AI Apps and Agents on Azure : AI-103

  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 20, 2026
  • Q&As: 159 Questions and Answers

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

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
You need to improve response completeness. The solution must be implemented in the logic of the application code before responses are returned.
What should you do?

A) Add a retry evaluation before the responses are returned.
B) Increase the value of the presence_penalty parameter
C) Replace the model with a smaller deployment.
D) Decrease the value of the temperature parameter.


2. You have a large collection of image files and PDF documents stored in an Azure Storage account. The documents contain tabular data.
You need to extract the tables into a structured format that can be imported into a database. The solution must minimize development effort. What should you use?

A) Azure AI Video Indexer
B) Azure Content Understanding in Foundry Tools
C) Azure Vision in Foundry Tools
D) Azure Document Intelligence in Foundry Tools


3. Drag and Drop Question
You have a Microsoft Foundry project that uses Azure Content Understanding in Foundry Tools to analyze marketing videos.
Video segmentation is enabled.
You need to configure an analyzer to output a generated JSON field that describes the color scheme of each video segment.
How should you configure the analyzer? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


4. You have an invoice-processing application named App1 that uses Azure Constant Understanding in Foundry Tools.
You are building a new Content Understanding pipeline named Pipeline1 that must meet the following requirements:
- Compare an invoice to its related purchase order
- Validate the voice against static vendor contact documents
- Return a single structured output that includes discrepancy findings
You need to configure Pipeline1 and expose the pipeline as a single analyzer endpoint. What should you configure?

A) a multi-file task in standard mode that uses the invoice and purchase order as input to the analyzer
B) a multiple-file task in pro mode that uses the vendor contract files as reference data
C) a single-file task in standard mode that uses the vendor contract provided as an additional document during analysis.
D) a single-file task in standard mode that uses confidence scores enabled for the extracted fields.


5. You have an app named App1 that uses a Microsoft Foundry multimodal model deployment.
App1 runs optical character recognition (OCR) on uploaded images and appends the OCR output to the prompt as additional context.
Some uploaded images contain embedded text.
You need to prevent potentially malicious instructions from being processed by the model.
What should you use?

A) prompt shields for documents
B) image moderation
C) prompt shields for user prompts
D) protected material text


Solutions:

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

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