おそらく、あなたはゲームをするのに多くの時間を無駄にしたでしょう。関係ありません。変更するのに遅すぎることはありません。過去を後悔する意味はありません。 AI-901試験資料は、希望するAI-901認定を取得するのに役立ちます。 AI-901学習教材を学習した後、あなたは大きく変わります。また、あなたは人生について前向きな見方をします。全体として、すべての幻想を捨て、勇敢に現実に立ち向かいます。 AI-901模擬試験が最高のアシスタントになります。あなたは世界で最高でユニークです。新たな挑戦に直面するだけで自信を持ってください！
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-901 |
| Real Exam Qty: | 30-40 |
| Exam Duration: | 60 minutes |
| Available Languages: | Portuguese (Brazil), English, Korean, Japanese, Chinese (Simplified), Italian, Chinese (Traditional), Spanish, Russian, French, Indonesian (Indonesia), German, Arabic (Saudi Arabia) |
| Exam Price: | $99 USD |
| Exam Format: | Multiple select, Case studies, Multiple choice |
| Passing Score: | 700 |
| Certificate Validity Period: | Lifetime |
| Recommended Training: | Microsoft Learn: AI concepts for developers and technology professionals Microsoft Learn: Get started with Microsoft Foundry |
| Exam Registration: | Microsoft Certification Exam Registration Pearson VUE Scheduling |
| Sample Questions: | Microsoft AI-901 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/ |
AI-901実践教材は、すべての点で同様の製品よりも優れていると自信を持って伝えることができます。まず、ユーザーはAI-901試験準備を無料で試用して、AI-901スタディガイドをよりよく理解することができます。ユーザーが製品が自分に適していないことに気付いた場合、ユーザーは別の種類の学習教材を選択できます。ユーザーの選択を尊重し、ユーザーがAI-901実践教材を購入する必要があることを強制しません。ユーザーが適格なAI-901試験に合格できるように、ユーザーのすべての要件を可能な限り満たすことができます。
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質問 # 107
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: No
No, an Azure Content Understanding analyzer does not return results in HTML format. Instead, it processes your input files (which can include HTML) and structures the extracted output into Markdown, JSON fields, and segments.
Box 2: No
Only if you use the newly released synchronous operations introduced in the 2026-06-01-preview API version. If you are using the standard or generally available (GA) versions of the API, the process runs asynchronously by default.
Box 3: Yes
Yes, Azure Content Understanding in Foundry Tools can ingest and extract structured information from documents, images, audio, and video files Multimodal Ingestion: Processes unstructured data across text, images, audio recordings, and video files into user-defined formats like JSON or Markdown.
Schema-Driven Extraction: Uses prebuilt or custom schemas to extract, classify, or generate specific fields without complex prompt engineering.
Confidence & Grounding: Returns confidence scores and source grounding to verify accuracy and minimize manual oversight.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/analyzer-reference
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/whats-new
質問 # 108
You have a Microsoft Foundry project that contains a vision-enabled GPT model deployment.
You need to develop an application that sends an image and a text question to the model in a single request.
What should you use?
正解：C
解説：
To send an image and a text question to a vision-enabled GPT model deployment within a Microsoft Foundry project in a single request, you should target the Azure OpenAI Responses API via your Foundry Project Endpoint.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/gpt-with-vision
質問 # 109
Select the answer that correctly completes the sentence.
正解：
解説：
Explanation:
The completed sentence is:
When developing an AI system for self-driving cars, the Microsoft reliability and safety principle for responsible AI should be applied to ensure consistent operation of the system during use.
Self-driving cars are safety-critical AI systems. The key requirement in the question is consistent operation of the system during use, which maps directly to the Microsoft responsible AI principle of reliability and safety.
The other options are incorrect:
Fairness focuses on reducing bias and treating people equitably.
Accountability focuses on ensuring people remain responsible for AI systems and their outcomes.
Inclusiveness focuses on designing AI systems that work for and empower diverse users, including people with different needs or abilities.
Therefore, the correct answer is reliability and safety.
質問 # 110
Stating the source of the data used to train a model is an example of which responsible AI principle?
正解：A
解説：
Transparency in AI refers to openly sharing information about how an AI system is designed, trained, and operates. Stating the source of the data used to train a model is an example of transparency, as it provides clarity about the origins of the data and helps stakeholders understand the model's development process.
質問 # 111
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
A system prompt, also called a system message, is used to guide how a generative AI model behaves, including its tone, role, response style, and output format. Microsoft states that system messages help steer an Azure OpenAI chat model toward the desired behavior, tone, and output format.
Statement 1: System prompts can be used to authorize users. = No
Authorization is handled by application identity, access control, authentication, and security configuration. A system prompt can guide model behavior, but it is not an authorization mechanism.
Statement 2: A system prompt is used to reduce tokens per minute (TPM). = No TPM is a quota or throughput setting for model deployments. A system prompt does not reduce or configure TPM.
Statement 3: A system prompt guides the behavior of a generative AI model. = Yes This is correct. Microsoft documentation says system messages help steer the model's behavior, tone, and output format.
質問 # 112
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AI-901無料過去問: https://www.xhs1991.com/AI-901.html