적중율좋은AI-901적중율높은인증덤프공부자료

Microsoft 인증AI-901인증시험공부자료는PassTIP에서 제공해드리는Microsoft 인증AI-901덤프가 가장 좋은 선택입니다. PassTIP에서는 시험문제가 업데이트되면 덤프도 업데이트 진행하도록 최선을 다하여 업데이트서비스를 제공해드려 고객님께서소유하신 덤프가 시장에서 가장 최신버전덤프로 되도록 보장하여 시험을 맞이할수 있게 도와드립니다.

Microsoft AI-901 시험요강:

주제	소개
주제 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.
주제 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-901적중율 높은 인증덤프 <<

AI-901최신버전 인기덤프, AI-901시험패스 인증공부

Microsoft AI-901 덤프는Microsoft AI-901시험문제변경에 따라 주기적으로 업데이트를 진행하여 저희 덤프가 항상 가장 최신버전이도록 보장해드립니다. 고객님들에 대한 깊은 배려의 마음으로 고품질Microsoft AI-901덤프를 제공해드리고 디테일한 서비스를 제공해드리는것이 저희의 목표입니다.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q39-Q44):

질문 # 39
You have a Microsoft Foundry project that contains a model deployment.
You are developing an application that sends an image and a user question to the model.
You need to send both text and image content in the same request so the model can return an answer.
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. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

정답：

설명：

질문 # 40
Which Azure AI Foundry Service can be used to identify documents that contain sensitive information?

A. Azure AI Document Intelligence
B. Azure AI Custom Vision
C. Azure AI Language

정답：C

설명：
Azure AI Language can be used to identify documents containing sensitive information through its Personally Identifiable Information (PII) detection feature, which uses Named Entity Recognition (NER) to detect and categorize data like names, addresses, phone numbers, and financial details within unstructured text and native documents. This feature classifies sensitive data into predefined categories and can also redact the identified information, replacing it with asterisks to protect privacy.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable- information/overview

질문 # 41
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 # 42
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 # 43
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?

A. output_image
B. image_base64
C. input_image
D. image_generation

정답：C

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 # 44
......

PassTIP에서는Microsoft 인증AI-901시험대비덤프를 발췌하여 제공해드립니다. Microsoft 인증AI-901시험대비덤프에는 시험문제의 모든 예상문제와 시험유형이 포함되어있어 시험준비자료로서 가장 좋은 선택입니다. PassTIP에서 제공해드리는 전면적인Microsoft 인증AI-901시험대비덤프로Microsoft 인증AI-901시험준비공부를 해보세요. 통과율이 100%입니다.

AI-901최신버전 인기덤프: https://www.passtip.net/AI-901-pass-exam.html