Microsoft AI-901덤프최신문제 & AI-901완벽한시험덤프공부

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Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals (AI-900) Exam
Exam Number:AI-900
Certificate Validity Period:Does not expire (Fundamentals certification)
Related Certifications:Microsoft Azure Data Fundamentals (DP-900)
Microsoft Azure Fundamentals (AZ-900)
Passing Score:700 (out of 1000)
Exam Format:Multiple choice, Drag and drop, Multiple response, Case study (limited)
Available Languages:Chinese (Simplified), Spanish, Portuguese (Brazil), Chinese (Traditional), Japanese, German, English, French, Korean
Exam Duration:60 minutes
Real Exam Qty:40-60
Exam Price:Approx. 99 USD (varies by region)
Recommended Training:Microsoft Learn - AI-900 Learning Path
Azure AI Fundamentals Course
Exam Registration:Schedule exam via Pearson VUE
Microsoft Certification Portal
Sample Questions:Microsoft AI-901 Sample Questions
Exam Way:Online proctored exam or in-person test center
Pre Condition:No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/

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최신 AI-901덤프최신문제 시험대비 공부자료

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Microsoft AI-901 시험요강:

주제소개
주제 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.
주제 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.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q74-Q79):

질문 # 74
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You use the Azure OpenAI Responses API to send a prompt to the model.
You need to provide an image for analysis.
Which content item should you include in the request?

정답：A

설명：
When sending an image for analysis using the Azure OpenAI Responses API within a Microsoft Foundry project, you must include a content item object with the type input_image in the message payload.
Required Content Object Structure
Unlike the standard Chat Completions API (which uses type: "image_url"), the Responses API explicitly structures a multimodal image input as a separate block with the following properties:
type: Must be explicitly set to "input_image".
image_url: A dictionary or a direct parameter containing the target location of the image.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/responses


질문 # 75
Hotspot Question
Select the answer that correctly completes the sentence.

정답：

설명：


질문 # 76
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：

Explanation:
Box 1: Yes
Yes, a multimodal generative AI model is required to process prompts that contain images. These models can understand and combine different types of data, such as text and visual inputs, at the same time.
Box 2: Yes
Yes, you can use both methods to provide an image in the portal.
In the Microsoft Foundry chat playground, when interacting with vision-enabled models (like gpt-
4o or gpt-4o-mini), the interface allows you to upload local image files directly or paste a publicly accessible URL endpoint.
Box 3: Yes
A multimodal model can interpret multiple images in a single prompt. Most modern vision- language models accept several image inputs at once for tasks like comparison or sequential analysis.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/gpt-with-vision


질문 # 77
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 # 78
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 # 79
......

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