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Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Implement prompt engineering
  • 2. Build retrieval-augmented generation solutions
  • 3. Use Azure OpenAI and Foundry models
Topic 2: Implement agentic solutions20-25%- Manage agent operations
  • 1. Implement scalable deployments
  • 2. Monitor and debug agents
  • 3. Secure agent interactions
- Build AI agents
  • 1. Integrate tools and external knowledge
  • 2. Create autonomous and multi-agent workflows
  • 3. Configure memory and orchestration
Topic 3: Implement computer vision solutions10-15%- Analyze visual content
  • 1. Use multimodal vision APIs
  • 2. Implement OCR and visual understanding
  • 3. Process images and video
Topic 4: Implement text analysis and information extraction solutions10-15%- Analyze and extract information
  • 1. Use document intelligence services
  • 2. Implement natural language processing
  • 3. Extract entities and structured data
Topic 5: Plan and manage Azure AI solutions25-30%- Plan Azure AI resources
  • 1. Select Azure AI services and Foundry resources
  • 2. Configure authentication and security
  • 3. Manage deployments and monitoring
- Manage AI solution lifecycle
  • 1. Apply responsible AI practices
  • 2. Implement CI/CD for AI applications
  • 3. Monitor model and application performance

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Microsoft Developing AI Apps and Agents on Azure Sample Questions (Q40-Q45):

NEW QUESTION # 40
You have a custom agent named Agent1.
You need to control access to and monitor activity for Agent1 by using Microsoft Foundry.
What should you do first?

Answer: B

Explanation:
To monitor and control access to a custom agent in Azure, you must first create a Microsoft Foundry project. Once the project is created, you register your custom agent within it to enable management capabilities such as access control and activity monitoring.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/control-plane/register-custom-agent


NEW QUESTION # 41
You need to optimize content filter configurations by running tests on sample questions.
Solution: From Content Safety Studio, you use the Protected material detection feature to run the tests.
Does this meet the requirement?

Answer: B

Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Azure AI Apps and Agents Developer/Course Guide/topics:
Protected material detection addresses a different safety concern from standard objectionable-content moderation. It is intended to identify protected textual material or other supported protected-content classes rather than evaluate normal harm categories such as violence, sexual content, self-harm, and hate/fairness.
To optimize a harmful-content filter, representative prompts should be submitted through the Moderate text content interface. Microsoft documents that the moderation experience returns detected content categories and severity levels and lets the user adjust filter thresholds before rerunning the same content. Microsoft Learn Because the objective is to tune the filter configuration applied to objectionable user input and generated output, the tests must produce the same harm-category signals used by those filters. Protected-material detection cannot provide those severity measurements and therefore cannot determine whether the configured harmful-content thresholds are correct.
Protected-material detection can still be an additional responsible-AI control when an application needs to identify protected or copyrighted-like material, but that is independent of the requirement in this question.
The AI-103 Study Guide distinguishes content moderation, safety filters, risk detection, safety evaluations, and related responsible-AI controls.


NEW QUESTION # 42
You are designing a content management system.
You need to ensure that the reading experience is optimized for users who have reduced comprehension and learning differences, such as dyslexia. The solution must minimize development effort.
Which Azure service should you include in the solution?

Answer: C

Explanation:
Include Azure AI Immersive Reader in your solution. It is an applied AI service that provides built- in accessibility features like read-aloud (text-to-speech), real-time translation, line focusing, and customizable typography. It requires no machine learning expertise and integrates easily to minimize development effort.
Reference:
https://azure.microsoft.com/en-us/products/ai-services/ai-immersive-reader


NEW QUESTION # 43
You are deploying a support agent that enables users to upload photos.
You need to automatically classify uploaded images for harmful content. The solution must block content based on severity levels.
What should you do?

Answer: C

Explanation:
The best solution in this scenario is to implement image moderation.
Azure AI Content Safety provides dedicated image moderation capabilities that automatically detect, classify, and score harmful visual content (such as violence, hate speech, sexual content, and self-harm). It natively allows you to configure threshold blocklists based on four severity levels (Low, Medium, High), perfectly matching the requirements.
Incorrect:
[Not A]
Optical Character Recognition (OCR) only extracts text embedded within an image. If a user uploads a harmful photo that contains no text (e.g., a violent image), OCR and keyword scanning will completely fail to detect it.
[Not B]
The Prompt shields feature is designed to protect generative AI models from text-based attacks, such as jailbreaking or prompt injection. It does not analyze or classify the visual pixels of an uploaded photo for harmful content.
[Not C]
While Azure AI Content Safety uses blocklists, standard text blocklists match specific exact terms or regex patterns. They are used for text moderation, not for evaluating the severity levels of raw visual imagery.
Reference:
https://supportzebra.com/blog/what-is-ai-image-moderation


NEW QUESTION # 44
You plan to build an agent that will combine and process multiple files uploaded by users.
You are evaluating whether to use the Azure AI Agent Service to develop the agent.
What is the maximum size of all the files that can be uploaded to the service?

Answer: C

Explanation:
https://learn.microsoft.com/en-us/azure/ai-services/agents/quotas-limits


NEW QUESTION # 45
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