AI-901参考書内容 & AI-901日本語版試験解答

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Microsoft AI-901 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
トピック 2
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.

>> AI-901参考書内容 <<

AI-901日本語版試験解答 & AI-901試験準備

MicrosoftのAI-901の試験の資料やほかのトレーニング資料を提供しているサイトがたくさんありますが、MicrosoftのAI-901の認証試験の高品質の資料を提供しているユニークなサイトはShikenPASSです。ShikenPASSのガイダンスとヘルプを通して、初めにMicrosoftのAI-901「Microsoft Azure AI Fundamentals」の認証を受けるあなたは、気楽に試験に合格すことができます。ShikenPASSが提供した問題と解答は現代の活力がみなぎる情報技術専門家が豊富な知識と実践経験を活かして研究した成果で、あなたが将来IT分野でより高いレベルに達することに助けを差し上げます。

Microsoft Azure AI Fundamentals 認定 AI-901 試験問題 (Q117-Q122):

質問 # 117
What are two types of generative AI models? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point

正解:C、D

解説:
GPT (Generative Pre-trained Transformer): A generative AI model that focuses on text-based tasks, such as language generation, summarization, and question answering. GPT models are foundational for tasks involving natural language generation.
DALL-E: A generative AI model designed to create images from textual descriptions. It represents a type of generative model specialized in computer vision tasks, specifically generating new visual content.


質問 # 118
You need to identify harmful content in a generative AI solution that uses Azure OpenAI Service.
What should you use?

正解:C

解説:
Azure AI Content Safety is a new Azure AI Service that can detect harmful user-generated and AI-generated content. This service is being integrated across MS products, including Azure OpenAI Service and Machine Learning prompt flow.
Reference:
https://ivanatilca.medium.com/testing-azure-ai-content-safety-ccd512f9b350


質問 # 119
You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:
- Accept customer orders.
- Retrieve support documents.
- Retrieve order status updates.
Which type of NLP should you use?

正解:B

解説:
The correct choice is language understanding (also termed language modeling).
Language understanding allows a system to determine a user's intent from their natural language input. In this scenario, the chatbot needs to look at a text string and map it to one of three specific operational categories (intents):
Accepting a customer order
Retrieving support documentation
Checking an order status update


質問 # 120
You have an Azure subscription.
You need to use Azure Content Understanding in Foundry Tools to extract structured data from invoices.
What should you provision?

正解:D

解説:
To use Azure Content Understanding in Foundry Tools, Microsoft lists a Microsoft Foundry resource as a prerequisite. The documentation states that you need a Microsoft Foundry resource created in a supported region, and that the portal lists this resource under Foundry > Foundry.
The invoice scenario is also directly aligned with Content Understanding's intelligent document processing use case: Microsoft states that Content Understanding converts unstructured documents into structured data and gives invoice processing as an example.
Therefore, to extract structured data from invoices by using Azure Content Understanding in Foundry Tools, you should provision a Microsoft Foundry resource.


質問 # 121
Which functionality in Azure AI Foundry enables you to test prompts for generative AI models?

正解:D

解説:
Azure AI Foundry playgrounds are designed for testing and prototyping prompts for generative AI models. You can use these interactive, web-based interfaces to experiment with various system and user prompts, compare different model responses in real-time, and even evaluate their performance using structured metrics like similarity and groundedness.
Reference:
https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/concept-playgrounds


質問 # 122
......

社会と経済の発展につれて、多くの人はIT技術を勉強します。なぜならば、IT職員にとって、MicrosoftのAI-901資格証明書があるのは肝心な指標であると言えます。自分の能力を証明するために、AI-901試験に合格するのは不可欠なことです。弊社のAI-901真題を入手して、試験に合格する可能性が大きくなります。

AI-901日本語版試験解答: https://www.shikenpass.com/AI-901-shiken.html