AI-901リンクグローバル、AI-901模擬試験サンプル

MogiExamのシニア専門家チームはMicrosoftのAI-901試験に対してトレーニング教材を研究できました。MogiExamが提供した教材を勉強ツルとしてMicrosoftのAI-901認定試験に合格するのはとても簡単です。MogiExamも君の１００％合格率を保証いたします。

Microsoft AI-901 Exam Syllabus Topics:

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

>> AI-901リンクグローバル <<

信頼できるAI-901｜高品質なAI-901リンクグローバル試験｜試験の準備方法Microsoft Azure AI Fundamentals模擬試験サンプル

私たちに知られているように、Microsoft Azure AI Fundamentals高い合格率は、高品質のMogiExamのAI-901研究急流を反映しています。 試験に合格した98パーセント以上があり、これらの人々は両方ともMicrosoftのAI-901テストトレントを使用しました。 当社のAI-901ガイド急流が他の学習教材より高い合格率を持っていることは間違いありません。 高いパスレートがすべての人々にとって非常に重要であることを深く知っているため、常にパスレートを改善するために最善を尽くしています。 現在、合格率は99％に達しました。 学習ツールとしてAI-901学習トレントを選択し、慎重に学習した場合、

Microsoft Azure AI Fundamentals 認定 AI-901 試験問題 (Q99-Q104):

質問 # 99
Your company processes customer support emails.
You need to implement an AI solution that automatically identifies mentions of people, organizations, and locations in the emails.
Which text analysis technique should you use?

正解：A

解説：
The correct text analysis technique is Named Entity Recognition (NER).
Microsoft defines NER as a feature that identifies and categorizes entities in unstructured text, including people, places, and organizations.
Sentiment analysis detects positive, negative, or neutral opinion. Summarization creates shorter versions of text. Key phrase extraction identifies important phrases, but it does not specifically classify mentions as people, organizations, or locations.


質問 # 100
You have an Azure subscription that uses Azure OpenAI.
You need to create an original image of a rural scene to use on a website.
What should you do?

正解：D

解説：
Azure OpenAI in Azure AI Foundry Models
Image generation models
The image generation models generate images from text prompts that the user provides. GPT- image-1 is in limited access public preview. DALL-E 3 is generally available for use with the REST APIs. DALL-E 2 and DALL-E 3 with client SDKs are in preview.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models


質問 # 101
Select the answer that correctly completes the sentence.

正解：

解説：


質問 # 102
What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

正解：A、B

解説：
Microsoft Foundry Agent Service documentation states that instructions define goals, constraints, and behavior for an agent. Therefore, instructions are used to guide how the generative AI model or agent should respond and behave.
Option A is correct because instructions can define constraints the model must follow.
Option B is correct because instructions can define the agent's role and behavior.
Options C, D, and E are incorrect because Azure region, model selection, and TPM allocation are configuration or deployment/resource settings, not purposes of prompt instructions.


質問 # 103
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You are developing an application that sends images to the model.
You need to ensure that the model can analyze the images.
In which two formats can you provide the images? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

正解：C、D

解説：
For vision-enabled Azure OpenAI / Microsoft Foundry model requests, image input can be provided by using an image URL or base64-encoded image data. Microsoft's Azure OpenAI REST API reference states that the image content part URL field can contain either a URL of the image or the base64 encoded image data. It also states that the Responses API input_image.image_url value can be a fully qualified URL or a base64 encoded image in a data URL.


質問 # 104
......

AI-901試験問題を購入する前に、無料でダウンロードして試してみることができます。また、WebサイトのAI-901学習ガイドのページにアクセスして、AI-901試験問題を理解することができます。 MogiExamのAI-901ガイドトレントのページはデモを提供し、タイトルの一部とソフトウェアの形式を理解できます。そのため、購入する前にAI-901試験問題を理解し、AI-901試験問題を購入するかどうかを決定できます。

AI-901模擬試験サンプル: https://www.mogiexam.com/AI-901-exam.html