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

1. 您正在建立一個聊天機器人，它將使用自然語言處理 (NLP) 根據使用者的文字輸入執行以下操作：
* 接受客戶訂單。
* 檢索支援文件。
* 檢索訂單狀態更新。
您應該使用哪種類型的 NLP？

A) 情緒分析
B) 翻譯
C) 語言建模
D) 命名實體識別

2. 您需要建立叢集模型並使用 Azure 機器學習設計器評估該模型。你該怎麼辦？

A) 將原始資料集拆分為訓練資料集和測試資料集。使用測試資料集進行評估。
B) 將原始資料集拆分為要素資料集和標籤資料集。使用特徵資料集進行評估。
C) 使用原始資料集進行訓練和評估。
D) 將原始資料集拆分為訓練資料集和測試資料集。使用訓練資料集進行評估。

3. 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。

4. 您需要使用以下資料集來預測給定客戶的收入範圍。

您應該使用哪兩個欄位作為特徵？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) 年齡
B) 收入範圍
C) 教育程度
D) 姓氏
E) 名字

5. 您正在建立一個應用程序，幫助員工根據使用者提示撰寫電子郵件和報告。您應該使用什麼？

A) Azure 人工智慧視覺
B) Azure 機器學習工作室
C) Foundry 模型中的 Azure OpenAI
D) Azure Al 語音

Solutions: