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

1. 您可以使用哪個指標來評估分類模型？

A) 平均絕對誤差 (MAE)
B) 均方根誤差 (RMSE)
C) 決定係數（R2）
D) 真陽性率

2. 可用於評估迴歸模型的兩個指標是什麼？每個正確答案都代表一個完整的解決方案。
注意：每個正確的選擇都值得一分。

A) 均方根誤差 (RMSE)
B) 平衡精度
C) 決定係數（R2）
D) 曲線下面積 (AUC)
E) F1分數

3. 您需要計算照片中動物的數量。您應該使用哪種類型的電腦視覺？

A) 物體偵測
B) 臉部偵測
C) 影像分類
D) 光學字元辨識 (OCR)

4. 您有一個資料集，其中包含有關給定時間段內發生的計程車行程的資訊。
您需要訓練一個模型來預測計程車行程的費用。
您應該使用什麼作為功能？

A) 資料集中的計程車行程數
B) 個人計程車行程的費用
C) 單一計程車行程的行程 ID
D) 個體計程車行程的行程距離

5. 對於以下每個陳述，如果該陳述為真，請選擇「是」。否則，選擇“否”。 注意：每個正確的選擇都值得一分。

Solutions: