Microsoft AI-103 Q&A - in .pdf

  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 02, 2026
  • Q & A: 159 Questions and Answers
  • Printable Microsoft AI-103 PDF Format. It is an electronic file format regardless of the operating system platform.
  • PDF Price: $59.99
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Microsoft AI-103 Q&A - Testing Engine

  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 02, 2026
  • Q & A: 159 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
  • PC Test Engine Price: $59.99
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About Microsoft Developing AI Apps and Agents on Azure - AI-103 Exam

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Microsoft AI-103 Exam Syllabus Topics:

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

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have a Semantic Kernel agent that provides answers to product questions.
You plan to extend the capabilities of the agent to answer questions about the status of orders.
You need to ensure that the agent answers order status questions as quickly as possible. The solution must minimize development effort.
What should you include in the solution?

A) a plugin
B) a kernel
C) a function
D) an agent


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


3. Hotspot Question
You have a Microsoft Foundry project that contains a customer support agent built by using the Foundry Agent Service.
The agent uploads user-provided screenshots to Azure Storage through a ticketing tool and receives a blob URL for additional reasoning.
You need to use image moderation during agent runs and prevent harmful content from being returned during runs. Azure AI Content Safety must access the images by using the blob URL.
The solution must follow the principle of least privilege.
What should you configure for Content Safety? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


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. In Azure AI Studio, you use Completions playground with the GPT-35 Turbo model.
You have a prompt that contains the following code.
function F(n)
{
var f = [0, 1];
for (var i = 2; i < n; i++) f[i] = f[i-1] + f[i-2];
return f;
}
You need the model to create an explanation of the code. The solution must minimize costs.
What should you do?

A) Add function F(explanation) to the prompt.
B) Add // what does function F do? to the prompt.
C) Set the temperature parameter to 1.
D) Change the model to GPT-4-32k.


Solutions:

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

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