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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) 使用標籤進行訓練,使用特徵進行評估。
B) 將資料隨機分為用於訓練的行和用於評估的行。
C) 使用特徵進行訓練,使用標籤進行評估。
D) 將資料隨機分為用於訓練的欄位和用於評估的欄位。
2. 您需要從現有資料集建立訓練資料集和驗證資料集。
應使用 Azure 機器學習設計器中的哪個模組?
A) 分割數據
B) 選擇資料集中的列
C) 連接數據
D) 新增行
3. 您需要追蹤使用 Azure 機器學習訓練的模型的多個版本。你該怎麼辦?
A) 註冊模型。
B) 解釋模型。
C) 註冊訓練資料。
D) 提供推理除塵器。
4. 您有 100 個不包含任何音訊的教學影片。每個教學影片都有一個腳本。您需要根據腳本為每個影片產生旁白音訊檔案。您應該使用哪種類型的工作負載?
A) 語言建模
B) 語音合成
C) 語音識別
D) 翻譯
5. 您需要產生用於小冊子的漫畫。每部漫畫都將基於文字描述。
您應該使用哪種 Azure OpenAI 模型?
A) GPT-4
B) GPT-3.5
C) 法典
D) DALL-E
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: D |






