最新版的AI-901考古題 -下載AI-901題庫資料得到你想要的證書
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如果你正準備參加 AI-901 的考試,又苦於沒有精准的題庫或學習資料,VCESoft 絕對保證你第一次參加考試就可以順利通過。我們 AI-901 認證考試的考題按照相同的教學大綱,其次是實際的 Microsoft 的 AI-901 認證考試,另外也是不斷的升級我們的培訓資料,你得到的所有產品高達1年的免費更新,你也可以隨時延長更新訂閱時間,你將得到更多的時間來充分準備考試。
Microsoft AI-901 考試大綱:
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AI-901測試題庫 - 最新AI-901題庫
VCESoft 考題大師的 AI-901 權威考試考古題軟體是 Microsoft 證照廠商的授權產品,AI-901 試題都是考試原題的完美組合,覆蓋率95%以上,答案由多位專業資深講師原版破解得出,正確率100%。提供2種 Microsoft AI-901 考題大師版本供你選擇,分別是軟體版本 AI-901 考試考古題和PDF 格式 AI-901 考試考古題。
最新的 Microsoft Certified: Azure AI Fundamentals AI-901 免費考試真題 (Q45-Q50):
問題 #45
Select the answer that correctly completes the sentence.
答案:
解題說明:
問題 #46
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
答案:
解題說明:
問題 #47
Based on the image provided, here is the transcribed text:
You need to build an AI solution that produces new product images based on written descriptions provided by users.
Which AI workload should you use?
- A. optical character recognition (OCR)
- B. image generation
- C. image analysis
- D. object detection
答案:B
解題說明:
The requirement is to produce new product images based on written descriptions. This is an image generation workload, because the AI system is creating entirely new images from natural language prompts.
Why the other options are incorrect:
B . image analysis is used to examine and interpret existing images.
C . object detection is used to identify and locate objects within an existing image.
D . optical character recognition (OCR) is used to extract text from images or scanned documents.
Since the solution must generate new visual content from user-provided descriptions, the correct answer is:
A . image generation
問題 #48
You have a Microsoft Foundry project that has a generative AI model deployment.
You need to ensure that responses generated by the model minimize costs and remain within a defined length.
Which parameter should you configure?
- A. Top P
- B. Model version settings
- C. Temperature
- D. Max Completion Tokens
答案:D
解題說明:
To minimize cost and keep generated responses within a defined length, configure Max Completion Tokens.
Microsoft's Azure OpenAI / Foundry API reference defines max_completion_tokens as an upper bound for the number of tokens that can be generated for a completion. Because generated tokens contribute to usage and response length, limiting completion tokens helps control both output length and cost.
Temperature and Top P control randomness or sampling behavior, not maximum response length. Model version settings do not directly define the generated response length.
問題 #49
You are reviewing best practices for using AI at your company.
Which Microsoft responsible AI principle is each task an example of? To answer, drag the appropriate principles to the correct tasks. Each task 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 match is worth one point.
答案:
解題說明:
問題 #50
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