Exam Name: Microsoft Azure AI Fundamentals (AI-900中文版)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
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- Total Questions: 336
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
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Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of conversational AI workloads on Azure.
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Microsoft AI-900 中文 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
| Topic 2: Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
| Topic 3: Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Topic 4: Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
Microsoft Azure AI Fundamentals (AI-900中文版) Sample Questions:
要完成句子，請在答案區中選擇適當的選項。
Correct Answer:
Explanation:
The correct answer is "adding and connecting modules on a visual canvas." According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore automated machine learning in Azure Machine Learning," the Azure Machine Learning designer is a drag-and-drop, no-code environment that allows users to create, train, and deploy machine learning models visually. It is specifically designed for users who prefer an intuitive graphical interface rather than writing extensive code.
Microsoft Learn defines Azure Machine Learning designer as a tool that allows you to "build, test, and deploy machine learning models by dragging and connecting pre-built modules on a visual canvas." These modules can represent data inputs, transformations, training algorithms, and evaluation processes. By linking them together, users can create an end-to-end machine learning pipeline.
The designer simplifies the machine learning workflow by allowing data scientists, analysts, and even non- developers to:
* Import and prepare datasets visually.
* Choose and connect algorithm modules (e.g., classification, regression, clustering).
* Train and evaluate models interactively.
* Publish inference pipelines as web services for prediction.
Let's analyze the other options:
* Automatically performing common data preparation tasks - This describes Automated ML (AutoML), not the Designer.
* Automatically selecting an algorithm to build the most accurate model - Also a characteristic of AutoML, where the system tests multiple algorithms automatically.
* Using a code-first notebook experience - This describes the Azure Machine Learning notebooks environment, which uses Python and SDKs, not the Designer interface.
Therefore, based on the official AI-900 learning objectives and Microsoft Learn documentation, the Azure Machine Learning designer allows you to create models by adding and connecting modules on a visual canvas, providing a no-code, interactive experience ideal for users building custom machine learning workflows visually.
下列哪兩個場景屬於對話式人工智慧工作負載？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. 一種能夠自動將頭燈安裝到汽車上的裝配線機械
- B. 一個使用知識庫以互動方式回答使用者問題的網站
- C. 監測機器溫度，當溫度達到特定閾值時啟動風扇。
- D. 家中的智慧型設備，可以回答諸如「今天天氣怎麼樣？」之類的問題。
Correct Answer: B,D 🗳️
Explanation: Only visible for PrepAwayExam members. You can sign-up / login (it's free).
您需要識別資料集中具有相似數值的行組。您應該使用哪種類型的機器學習？
- A. 聚類
- B. 分類
- C. 回歸
Correct Answer: A 🗳️
Explanation: Only visible for PrepAwayExam members. You can sign-up / login (it's free).
您有一個包含客戶評論的網站。
您需要以英語儲存評論，並透過識別每個使用者的地理位置，以使用者各自的語言向使用者呈現評論。
您應該使用哪種類型的自然語言處理工作負載？
- A. 語音識別
- B. 關鍵字詞擷取
- C. 語言建模
- D. 翻譯
Correct Answer: D 🗳️
Explanation: Only visible for PrepAwayExam members. You can sign-up / login (it's free).
您正在 Azure 中開發 Chabot 解決方案。
您應該使用哪種服務來確定使用者的意圖？
- A. 語言
- B. 講話
- C. Azure 認知搜尋
- D. 翻譯者
Correct Answer: A 🗳️
Explanation: Only visible for PrepAwayExam members. You can sign-up / login (it's free).
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