Microsoft AI-901 PDF題庫 & AI-901權威考題

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

>> Microsoft AI-901 PDF題庫 <<

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最新的 Microsoft Certified: Azure AI Fundamentals AI-901 免費考試真題 (Q34-Q39):

問題 #34
You have the following REST API request.

Which Azure OpenAI model should you use to process the request?

答案:B

解題說明:
The REST API request contains an image-generation style payload:
{
" prompt " : " A polar bear on the beach holding an icecream " ,
" size " : " 1024x1024 " ,
" n " : 1,
" style " : " vivid "
}
This request asks the model to generate an image from a text prompt. In Azure OpenAI, DALL-E models are used for image generation from natural language prompts.
Why the other options are incorrect:
B). Codex is associated with code generation tasks.
C). GPT-4.1 is primarily used for text/chat and multimodal reasoning, not this classic image-generation API payload.
D). Whisper is used for speech-to-text transcription.


問題 #35
Hotspot Question
Select the answer that correctly completes the sentence.

答案:

解題說明:


問題 #36
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:

解題說明:


問題 #37
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:

解題說明:

Explanation:

Statement 1: Fairness can be achieved by focusing solely on improving the overall accuracy of an AI model. = No Overall accuracy alone does not guarantee fairness. A model can have high overall accuracy while still producing biased or lower-quality outcomes for specific demographic groups. Fairness requires evaluating and reducing differences in model behavior across groups.
Statement 2: Evaluating AI system outputs to identify and reduce bias across demographic groups supports fairness. = Yes This statement is correct. The Microsoft responsible AI principle of fairness means AI systems should treat people fairly and avoid unfair bias. Evaluating outputs across demographic groups helps identify and reduce bias.
Statement 3: Ensuring fairness for an AI system means that all users always receive the same output from the system. = No Fairness does not mean identical outputs for all users. It means the system should avoid unfair bias and provide equitable treatment. Different users may receive different outputs when differences are relevant and appropriate.


問題 #38
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:

解題說明:

Explanation:

In Microsoft Foundry Agent Service, tool_choice controls whether and how an agent uses tools during a run.
Statement 1: Yes
Setting tool_choice to auto lets the agent/model decide whether to call a tool. This statement is true.
Statement 2: No
Setting tool_choice to none does not mean the model decides whether to call a tool. It means the model will not call a tool. This statement is false.
Statement 3: Yes
Setting tool_choice to required means the agent must call one or more tools during the run. This statement is true.
Microsoft documentation describes the tool_choice values as follows: auto allows the model to decide whether to call tools, none prevents tool calls, and required forces one or more tool calls.


問題 #39
......

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