Microsoft AI-103 Questions & Answers - in .pdf
- Total Q&A: 152
- Update: Oct 27, 2026
- Price: $59.99
- Vendor: Microsoft
- Exam Code: AI-103
- Exam Name: Developing AI Apps and Agents on Azure
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Microsoft AI-103 Q&A - Testing Engine
- Total Q&A: 152
- Update: Oct 27, 2026
- Price: $59.99
- Vendor: Microsoft
- Exam Code: AI-103
- Exam Name: Developing AI Apps and Agents on Azure
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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Implement text and speech analysis solutions | 10–15% | - Implement speech capabilities
- 1. Speech-to-text and text-to-speech integration
- 2. Speech translation and speaker recognition
- Implement natural language processing
- 1. Perform sentiment analysis, entity recognition, and summarization
- 2. Use Azure AI Language services
- 3. Build conversational language understanding
|
| Topic 2: Implement computer vision solutions | 10–15% | - Build multimodal solutions
- 1. Process and analyze video content
- 2. Combine vision and language capabilities
- Implement image analysis and processing
- 1. Implement object detection and image classification
- 2. Extract text and structure from images
- 3. Use Azure AI Vision services
|
| Topic 3: Implement generative AI and agentic solutions | 30–35% | - Design and implement intelligent agents
- 1. Implement multi-agent workflows and orchestration
- 2. Manage state, memory, and context
- 3. Select agent architecture patterns
- 4. Integrate agents with external systems and data sources
- Build generative AI applications
- 1. Integrate Azure OpenAI and other models
- 2. Implement prompt engineering and optimization
- 3. Build retrieval-augmented generation (RAG) solutions
- 4. Implement function calling and tool use
|
| Topic 4: Implement information extraction and knowledge mining | 10–15% | - Build knowledge bases and search solutions
- 1. Design knowledge mining pipelines
- 2. Implement Azure AI Search
- 3. Create and manage vector indexes
- Extract structured data from documents
- 1. Process forms, invoices, and unstructured content
- 2. Use Azure AI Document Intelligence
|
| Topic 5: Plan and manage Azure AI solutions | 25–30% | - Manage AI solution development lifecycle
- 1. Integrate with CI/CD pipelines
- 2. Configure model and agent deployments
- 3. Monitor and maintain AI workloads
- Design Azure AI infrastructure
- 1. Design for scalability, availability, and cost optimization
- 2. Select appropriate Azure AI Foundry services
- 3. Plan for security, compliance, and responsible AI
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
Question #1
You have an Azure Al Search resource named Search1 that is used by multiple apps hosted in Azure. You need to secure Search1. The solution must meet the following requirements:
* Prevent access to Search1 from the internet.
* Limit the access of each app to query specific indexes.
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct answer is worth one point.
Question #2
You need to configure Agent1 to answer customer questions about only the Contoso products. The solution must meet the business requirements.
What should you do?
A. Apply top-p sampling.
B. Increase the value of the temperature parameter.
C. Modify the system message instructions.
D. Add few-shot examples.
Question #3
You have a Microsoft Foundry project that generates product marketing images from text prompts.
After publishing several images, the legal team at your company identifies a competitor ' s logo on a sign in the background of an image.
You need to remove only the logo, while preserving the rest of the image.
What should you do?
A. Rerun the prompt by using a different random seed.
B. Increase the prompt guidance strength.
C. Apply a mask-based inpainting edit to the part of the image that contains the logo.
D. Modify the original prompt to exclude brand names.
Question #4
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.
Question #5
You are building an image-sharing app that must prevent users from sharing sexually explicit images. The solution must minimize development effort.
A. Microsoft Foundry
B. Visual Studio
C. Content Safety in Foundry Control Plane Studio
D. Vision Studio in Azure Vision in Foundry Tools
Solutions:
Question #1
Correct Answer: Only visible for members | Question #2
Correct Answer: C | Question #3
Correct Answer: C | Question #4
Correct Answer: Only visible for members | Question #5
Correct Answer: C |
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