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Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Implement AI solutions by using Microsoft Foundry55-60%- Get started with Microsoft Foundry
  • 1. Navigate the Microsoft Foundry portal
  • 2. Describe core features and use cases of Microsoft Foundry
  • 3. Create and configure a Foundry project
- Work with models in Microsoft Foundry
  • 1. Fine-tune models
  • 2. Evaluate model performance and safety
  • 3. Customize models with prompt engineering
  • 4. Discover and deploy foundation models
- Implement AI solutions
  • 1. Use code examples to call AI services
  • 2. Monitor and manage AI solutions
  • 3. Integrate AI services into applications
  • 4. Implement single-agent solutions
Identify AI concepts and responsibilities40-45%- Identify AI model components and configurations
  • 1. Describe model deployment and consumption concepts
  • 2. Describe model training and evaluation concepts
  • 3. Describe data preparation for AI models
- Describe principles of responsible AI
  • 1. Describe inclusiveness considerations
  • 2. Describe reliability and safety considerations
  • 3. Describe accountability considerations
  • 4. Describe privacy and security considerations
  • 5. Describe transparency considerations
  • 6. Describe fairness considerations
- Identify AI concepts and features
  • 1. Describe capabilities of natural language processing
  • 2. Describe capabilities of machine learning
  • 3. Describe characteristics of generative AI
  • 4. Describe types of AI workloads
  • 5. Describe capabilities of computer vision

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Microsoft Azure AI Fundamentals Sample Questions (Q37-Q42):

NEW QUESTION # 37
You need to build an AI solution that generates marketing email drafts based on a short description of a product and its target audience.
Which AI workload should you use?

Answer: C

Explanation:
Generating marketing email drafts from a short product description and target audience is a content generation task. This is a generative AI workload because the system creates new text based on the user's prompt.
B . computer vision is for interpreting images or video.
C . text classification categorizes existing text, but does not draft new marketing emails.
D . speech recognition converts spoken audio into text.
Therefore, the correct answer is A. generative AI.


NEW QUESTION # 38
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 39
You are developing a web app that processes invoices to calculate expenses.
You need to extract structured fields, including nested values, from the invoices by using a defined schema.
What should you use?

Answer: B

Explanation:
The requirement is to extract structured fields, including nested values, from invoices by using a defined schema. In Azure Content Understanding, an analyzer is the processing unit that defines how content is analyzed, what information is extracted, and how the output is structured, including JSON fields.
Microsoft's Content Understanding document solutions documentation states that Content Understanding uses customizable analyzers to extract essential information, fields, and relationships from documents and forms. Microsoft's quickstart also shows invoice processing with the prebuilt- invoice analyzer to extract structured data from an invoice document.


NEW QUESTION # 40
You are developing an application named App1 that analyzes customer feedback.
App1 will call Azure Language in Foundry Tools from a generative AI agent in Microsoft Foundry.
You need to ensure that the agent can access Azure Language text analysis.
What should you configure?

Answer: A

Explanation:
The Azure Language MCP (Model Context Protocol) server needs to be configured so your generative AI agent can utilize text analysis tools (like sentiment analysis, keyphrase extraction, and language detection).Azure Language in Foundry Tools exposes its capabilities as standardized tools using the MCP framework. This means your agent cannot call the traditional REST API directly; it must route requests through an MCP server configuration.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/overview


NEW QUESTION # 41
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 42
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