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Microsoft Azure AI Fundamentals (AI-900中文版) Sample Questions:

1. 您有一個包含機動車銷售數據的大型數據集。
您需要訓練自動化機器學習 (automated ML) 模型來根據車輛類型預測車輛銷售價值。
您應該選擇哪個任務？請在答案區選擇對應的任務來回答。
注意：每個正確選擇值一分。

2. 將自然語言處理工作負載的類型與適當的場景相符。
若要回答，請將適當的工作負載類型從左側列拖曳到右側的場景。每種工作負載類型可以使用一次、多次或完全不使用。
注意：每個正確的選擇都值得一分。

3. 您可以使用哪兩種資源來分析程式碼並產生程式碼函數和程式碼註解的解釋？每個正確答案都代表一個完整的解決方案。
注意：每個正確答案都值一分。

A) Azure OpenAI GPT-4 模型
B) Azure OpenAI Whisper 模型
C) Azure OpenAI DALL-E 模型
D) GitHub Copilot 服務

4. 您有以下應用程式：
* App1：了解大眾對品牌或主題的看法
* App2：將髒話過濾器應用於語音轉文本
每個應用程式使用什麼？請在答案區域中選擇相應的選項來回答。
注意：每個正確選擇值一分。

5. 您有一個使用 Azure OpenAI 的 Azure 訂閱。
您需要創建一張鄉村景色的原始圖像以在網站上使用。
你應該怎麼做？

A) 從 Azure Al Foundry 部署 GPT-3.5 Turbo 模型並提供建立鄉村場景影像的說明。
B) 從 Azure Al Foundry 部署 DALL-E 模型，並提供建立鄉村場景的說明。
C) 來自 GitHub Copilot，提供建立鄉村場景影像的說明。
D) 從 Microsoft Bing 搜尋術語「鄉村景色」並下載結果。

Solutions: