最新のAI-901テスト参考書 &資格試験におけるリーダーオファー &唯一無二なMicrosoft Microsoft Azure AI Fundamentals

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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	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.
トピック 2	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.

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Microsoft Azure AI Fundamentals 認定 AI-901 試験問題 (Q81-Q86):

質問 # 81
What are two types of generative Al models? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.

A. natural language processing
B. transformer
C. DALLE
D. computer vision
E. GPT

正解：C、E

解説：
GPT and DALL-E are examples of generative AI model types/families.
GPT models generate natural language text, such as answers, summaries, emails, and conversations.
DALL-E models generate images from text descriptions.
Why the other options are incorrect:
A). transformer is a model architecture, not the best answer here as a generative model type/family.
B). computer vision is an AI workload area.
E). natural language processing is an AI workload area, not a specific generative AI model type.

質問 # 82
Match the principles of responsible Al to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:
The system must not discriminate based on gender, race, or age. = Fairness This requirement maps to fairness because fairness means AI systems should avoid unfair bias and treat people equitably across demographic groups.
Personal data must be visible only to approved users. = Privacy and security This requirement maps to privacy and security because it focuses on protecting personal data and restricting access to authorized users only.
Automated decision-making processes must be recorded so that approved users can identify why a decision was made. = Transparency This requirement maps to transparency because recording decision-making processes helps users understand and explain how or why an AI-supported decision was made.

質問 # 83
Select the answer that correct completes the sentence.

正解：

解説：

Explanation:
Azure Text Analytics client library
The completed sentence is:
To develop an application that analyzes text by using Azure Language in Foundry Tools, use the Azure Text Analytics client library package.
Azure Language text analysis features include sentiment analysis, key phrase extraction, named entity recognition, language detection, and other text analytics capabilities. These are accessed by using the Azure Text Analytics client library .
The highlighted Azure Speech SDK option is incorrect because it is used for speech workloads, such as speech recognition and speech synthesis, not text analysis.

質問 # 84
You have a Microsoft Foundry project that contains a deployed generative AI model.
You need to develop an application by using the Microsoft Foundry SDK to send chat prompts to the deployed model.
Which information must the application include?

A. Model training dataset, exported playground session history, and Foundry project display name
B. Credentials, endpoint URL, and model deployment name
C. Foundry project display name, model training dataset, and task type
D. Exported playground session history, endpoint URL and task type

正解：B

解説：
You can develop this application by combining the Microsoft Foundry SDK (azure-ai-projects) with token credentials to instantiate an OpenAI-compatible client, passing the project endpoint URL and your specific model deployment name to route your chat completions.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/sdk-overview

質問 # 85
Which action can be performed by using the Azure AI Vision service?

A. extracting key phrases from documents
B. identifying breeds of animals in live video streams
C. creating thumbnails for training videos
D. extracting data from handwritten letters

正解：D

解説：
Azure AI Vision is a service within Azure Cognitive Services that enables developers to analyze visual data from images and videos. It includes OCR (Optical Character Recognition) capabilities, allowing you to extract text (both printed and handwritten) from images, PDFs, and scanned documents.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-ocr

質問 # 86
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結果として、AI-901の質問トレントはユーザーレベルのニーズに合わせて調整され、文化レベルは不均一であり、大学生が学校に多く、労働者に多くの仕事があり、さらには教育レベルが低い人もいます。オフなので、ユーザーのさまざまなレベルの違いに適応するために、テキスト情報の表現に特に焦点を当てた教材を作成するときにAI-901試験の質問が行われるため、AI-901学習ガイドの内容を理解できますAI-901試験に簡単に合格します。

AI-901的中率: https://www.it-passports.com/AI-901.html