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Microsoft AI-103 Exam Braindumps - in .pdf Free Demo

  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • , Last Updated: Aug 05, 2026
  • Q & A: 159 Questions and Answers
  • Convenient, easy to study. Printable Microsoft AI-103 PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
  • PDF Price: $59.99    

Microsoft AI-103 Exam Braindumps - Testing Engine PC Screenshot

  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • , Last Updated: Aug 05, 2026
  • Q & A: 159 Questions and Answers
  • Uses the World Class AI-103 Testing Engine. Free updates for one year. Real AI-103 exam questions with answers. Install on multiple computers for self-paced, at-your-convenience training.
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Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement agentic solutions20-25%- Build AI agents
  • 1. Create autonomous and multi-agent workflows
  • 2. Configure memory and orchestration
  • 3. Integrate tools and external knowledge
- Manage agent operations
  • 1. Secure agent interactions
  • 2. Monitor and debug agents
  • 3. Implement scalable deployments
Topic 2: Plan and manage Azure AI solutions25-30%- Plan Azure AI resources
  • 1. Configure authentication and security
  • 2. Manage deployments and monitoring
  • 3. Select Azure AI services and Foundry resources
- Manage AI solution lifecycle
  • 1. Implement CI/CD for AI applications
  • 2. Apply responsible AI practices
  • 3. Monitor model and application performance
Topic 3: Implement generative AI solutions25-30%- Optimize and evaluate models
  • 1. Evaluate responses and grounding
  • 2. Configure content filters and safety
  • 3. Implement multimodal AI capabilities
- Develop generative AI applications
  • 1. Implement prompt engineering
  • 2. Build retrieval-augmented generation solutions
  • 3. Use Azure OpenAI and Foundry models
Topic 4: 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
Topic 5: Implement computer vision solutions10-15%- Analyze visual content
  • 1. Process images and video
  • 2. Implement OCR and visual understanding
  • 3. Use multimodal vision APIs

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. 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.


2. You have an Azure subscription.
You plan to build an app that will use the Azure OpenAI DALL-E model.
You need to deploy the model.
What should you use?

A) Azure AI Studio and Azure Command-Line Interface (CLI)
B) the Azure SDK for JavaScript and Azure Machine Learning Studio
C) the Azure SDK for Python and PowerShell cmdlets
D) the Azure portal and Microsoft Graph API


3. You have a Microsoft Foundry project that uses Azure AI Search to ground an agent in internal documentation.
After a recent content update, users report that the agent's answers have become less accurate.
You need to identify whether the retrieved content is negatively influencing the model's generated responses.
Which observability signal should you review?

A) indexer status and failure history
B) latency breakdown traces
C) groundedness evaluation metrics
D) prediction drift metrics


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 documents.
Does this meet the goal?

A) No
B) Yes


5. You are building an image sharing app that will use Azure AI to prevent users from sharing sexually explicit images.
You need to ensure that inappropriate images are identified correctly. The solution must minimize development effort.
What should you use?

A) Azure AI Content Safety Studio
B) Azure AI Studio
C) Vision Studio in Azure AI Vision
D) Visual Studio


Solutions:

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

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