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

1. 您將圖像發送到電腦視覺 API 並接收回展覽中顯示的註釋的圖像。

使用了哪種類型的電腦視覺？

A) 語意分割
B) 影像分類
C) 物體偵測
D) 光學字元辨識 (OCR)

2. 將機器學習的類型與適當的場景相符。
要回答，請將適當的機器學習類型從左側列拖曳到右側的場景。每種機器學習類型可以使用一次、多次或完全不使用。
注意：每個正確的選擇都值得一分。

3. 電腦視覺可以執行哪兩項任務？每個正確答案都提供了一個完整的解決方案。
注意：每個正確選擇值一分。

A) 偵測影像中的品牌。
B) 擷取關鍵字詞。
C) 預測股票價格。
D) 偵測影像中的配色方案
E) 在語言之間翻譯文字。

4. 哪一項陳述是 Microsoft 負責任的 AJ 原則的例子？

A) 人工智慧系統必須公開個人詳細信息
B) 人工智慧系統必須僅使用公開可用的數據。
C) AI系統必須保護公司利益
D) 人工智慧系統必須易於理解。

5. 您需要分析高速公路上車輛的圖像並測量車輛之間的距離。您應該使用哪種類型的電腦視覺模型？

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

Solutions: