Microsoft AI-103 exam - in .pdf

AI-103 pdf
  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 10, 2026
  • Q & A: 159 Questions and Answers
  • PDF Price: $59.99
  • PDF Demo

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  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 10, 2026
  • Q & A: 159 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft AI-103 exam - Testing Engine

AI-103 Testing Engine
  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 10, 2026
  • Q & A: 159 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Microsoft AI-103 Exam Syllabus Topics:

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

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. A legal team must extract clauses and inferred fields from unstructured contracts. One required field is the contract end date, which is not stated explicitly and must be derived from the start date plus the term. The team has no labelled training data. Which tool best fits?

A) An Azure AI Document Intelligence custom model trained on labelled samples
B) The Azure AI Search semantic ranker
C) Azure Translator in Foundry Tools
D) Azure Content Understanding using a prebuilt-contract or zero-shot custom analyser


2. Hotspot Question
You are building a model to detect objects in images.
The performance of the model based on training data is shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.


3. Hotspot Question
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
- Use a single key and endpoint to access multiple services.
- Consolidate billing for future services that you might use.
- Support the use of Azure Vision in Foundry Tools in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


4. 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 user prompts.
Does this meet the goal?

A) No
B) Yes


5. Hotspot Question
You have a Microsoft Foundry project that contains an agent.
You use a GitHub Actions workflow for CI/CD.
You need to configure the workflow to automatically evaluate the agent when a pull request (PR) is created and prevent branches from merging if the evaluation results do NOT meet the defined thresholds.
How should you configure the workflow? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Solutions:

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

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