Microsoft AI-901 시험을 어떻게 통과할수 있을가 고민중이신 분들은Fast2test를 선택해 주세요. Fast2test는 많은 분들이 IT인증시험을 응시하여 성공하도록 도와주는 사이트입니다. 최고급 품질의Microsoft AI-901시험대비 덤프는Microsoft AI-901시험을 간단하게 패스하도록 힘이 되어드립니다. Fast2test 의 덤프는 모두 엘리트한 전문가들이 만들어낸 만큼 시험문제의 적중률은 아주 높습니다.
| 주제 | 소개 |
|---|---|
| 주제 1 |
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| 주제 2 |
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Microsoft인증 AI-901시험을 통과하여 자격증을 취득하여 IT 업계에서의 자신의 자리를 지키려면 많은 노력이 필요합니다. 회사일도 바쁜데 시험공부까지 스트레스가 장난아니게 싸이고 몸도 많이 상하겠죠. Fast2test는 여러분을 위해 최신Microsoft인증 AI-901시험에 대비한Microsoft인증 AI-901덤프를 발췌하였습니다. Microsoft인증 AI-901덤프는Microsoft인증 AI-901시험의 기출문제와 예상문제가 묶어져 있어 시험적중율이 굉장히 높습니다. 쉽게 시험을 통과하려면Fast2test의 Microsoft인증 AI-901덤프를 추천합니다.
질문 # 20
You are building a knowledge base by using Azure AI Language service's custom answering feature. Which file format can you use to populate the knowledge base?
정답：D
설명：
Azure AI Language service's custom answering can populate its knowledge base using various file formats, including structured text (.txt, .tsv), Microsoft Office documents (.docx, .xlsx, .pptx), and HTML, PDF, and Markdown files.
Reference:
https://docs.azure.cn/en-us/ai-services/language-service/question-answering/reference/document-format-guidelines
질문 # 21
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.
정답：
설명：
질문 # 22
You have a Microsoft Foundry project named project1 that contains an Azure OpenAI resource named Resource1.
To Resource1, you deploy a gpt-4.1-mini model by using a model deployment named my-mini-gpt.
You need to connect to my-mini-gpt from an application.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets.
Each value may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
client = OpenAI(
api_key= " ... " ,
base_url= " https://resource1.openai.azure.com/openai/v1/ " ,
)
response = client.responses.create(
model= " my-mini-gpt " ,
)
For Azure OpenAI in Microsoft Foundry, the base_url uses the Azure OpenAI resource name in the endpoint format:
https:// < resource-name > .openai.azure.com/openai/v1/
In the question, the Azure OpenAI resource is named Resource1, so the first blank must be resource1.
Microsoft documentation for Azure OpenAI v1 endpoints confirms that the endpoint must use the ...openai.
azure.com/openai/v1/ path.
For the model parameter, Azure OpenAI requires the deployment name, not the underlying model name.
Microsoft states that Azure OpenAI always requires the deployment name when calling APIs, even when the parameter is named model.
The deployed model is gpt-4.1-mini, but the deployment name is my-mini-gpt. Therefore, the second blank must be:
model= " my-mini-gpt "
So the correct selections are:
base_url blank = resource1
model blank = my-mini-gpt
질문 # 23
Drag and Drop Question
You have a Microsoft Foundry project named project1 that contains an Azure OpenAI resource named Resource1.
To Resource1, you deploy a gpt-4.1-mini model by using a model deployment named my-mini- gpt.
You need to connect to my-mini-gpt from an application.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
정답：
설명：
질문 # 24
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You need to develop an application that sends a message containing text and an image URL.
The solution must ensure the quickest response time.
Which message structure should you include in the request?
정답：A
설명：
For a vision-enabled model, Microsoft documentation shows that multimodal prompts can include both text and image content in the same user message content array. Azure OpenAI vision models accept multimodal image-and-text input and return natural language responses.
The correct request structure is a user message with a content array containing both items, for example:
{
"role": "user",
"content": [
{"type": "input_text", "text": "What is in this image?"}, {"type": "input_image", "image_url":
image_url}
]
}
This avoids sending separate requests and is therefore the best choice for quickest response time.
A and C are incorrect because they send the text and image separately. B is incorrect because the image/question should be sent as a user message, while system messages are used for instructions and behavior.
질문 # 25
......
많은 사이트에서도 무료Microsoft AI-901덤프데모를 제공합니다.우리도 마찬가지입니다.여러분은 그러한Microsoft AI-901데모들을 보시고 다시 우리의 덤프와 비교하시면 ,우리의 덤프는 다른 사이트덤프와 차원이 다른 덤프임을 아시될것입니다, 우리Fast2test에서 제공되는 덤프는 100%보장 도를 자랑하며,여러분은 시험패스로 인해 성공과 더 가까워 졌답니다
AI-901인증시험 덤프공부: https://kr.fast2test.com/AI-901-premium-file.html