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

1. 對於機器學習的進展，應該如何分割資料進行訓練和評估？

A) 將資料隨機分為用於訓練的行和用於評估的行。
B) 使用特徵進行訓練，使用標籤進行評估。
C) 使用標籤進行訓練，使用特徵進行評估。
D) 將資料隨機分為用於訓練的欄位和用於評估的欄位。

2. 將電腦視覺服務與適當的人工智慧工作負載相匹配。
要回答，請將適當的服務從左側列拖曳到右側的工作負載。每項服務可以使用一次、多次或完全不使用。
注意：每場正確的比賽都值得一分。

3. 要完成句子，請在答案區中選擇適當的選項。

4. 您有一個基於 AI 的貸款審批系統。
在測試過程中，您發現系統有性別偏見。
這違反了哪一條負責任的人工智慧原則？

A) 責任
B) 透明度
C) 公平
D) 可靠性與安全性

5. 選出正確完成句子的答案。

Solutions: