検証するMicrosoft AI-901無料試験 &合格スムーズAI-901専門試験 |有効的なAI-901日本語版サンプル

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Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Identify AI concepts and responsibilities40-45%- Describe principles of responsible AI
  • 1. Describe inclusiveness considerations
  • 2. Describe privacy and security considerations
  • 3. Describe fairness considerations
  • 4. Describe reliability and safety considerations
  • 5. Describe transparency considerations
  • 6. Describe accountability considerations
- 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
- Identify AI concepts and features
  • 1. Describe capabilities of machine learning
  • 2. Describe capabilities of computer vision
  • 3. Describe capabilities of natural language processing
  • 4. Describe characteristics of generative AI
  • 5. Describe types of AI workloads
Implement AI solutions by using Microsoft Foundry55-60%- Implement AI solutions
  • 1. Implement single-agent solutions
  • 2. Monitor and manage AI solutions
  • 3. Integrate AI services into applications
  • 4. Use code examples to call AI services
- Work with models in Microsoft Foundry
  • 1. Customize models with prompt engineering
  • 2. Fine-tune models
  • 3. Discover and deploy foundation models
  • 4. Evaluate model performance and safety
- 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

>> AI-901無料試験 <<

AI-901専門試験 & AI-901日本語版サンプル

多くの人々は高い難度のMicrosoft認証AI-901試験に合格するのは専門の知識が必要だと思います。それは確かにそうですが、その知識を身につけることは難しくないとといわれています。Microsoft業界ではさらに強くなるために強い専門知識が必要です。

Microsoft Azure AI Fundamentals 認定 AI-901 試験問題 (Q61-Q66):

質問 # 61
Hotspot Question
Select the answer that correctly completes the sentence.

正解：

解説：


質問 # 62
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?

正解：A

解説：
To identify main talking points in feedback using Azure natural language processing, the Key Phrase Extraction feature within the Azure AI Language service is the most appropriate choice.
This feature analyzes text and extracts the most relevant and important phrases, effectively highlighting the core topics or themes present in the feedback.
Reference:
https://learn.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing


質問 # 63
You have an Al based loan approval system During testing, you discover that the system has a gender bias.
Which responsible Al principle does this violate?

正解：B

解説：
A loan approval system that shows gender bias violates the Microsoft responsible AI principle of fairness .
Fairness means AI systems should avoid unfair bias and should treat people equitably across demographic groups such as gender, race, age, and other protected or sensitive characteristics.


質問 # 64
You are developing a simple application that uses the Microsoft Foundry SDK to send chat prompts to a model.
Which three elements should you provide in the code to run the application? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

正解：A、B、E


質問 # 65
You have a Microsoft Foundry project that has a generative AI model deployment.
You need to ensure that responses generated by the model minimize costs and remain within a defined length.
Which parameter should you configure?

正解：B

解説：
To minimize cost and keep generated responses within a defined length, configure Max Completion Tokens.
Microsoft's Azure OpenAI / Foundry API reference defines max_completion_tokens as an upper bound for the number of tokens that can be generated for a completion. Because generated tokens contribute to usage and response length, limiting completion tokens helps control both output length and cost.
Temperature and Top P control randomness or sampling behavior, not maximum response length. Model version settings do not directly define the generated response length.


質問 # 66
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AI-901専門試験: https://www.topexam.jp/AI-901_shiken.html