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Explain Conversational Artificial Intelligence Workloads Features on Azure (15-20%)
In the last section, you will face with the following subtopics:
- Establish Azure services for Conversational Artificial Intelligence – The potential candidates for the Microsoft AI-900 exam should have the capacity to identify the capabilities of Azure Bot Service and QnA Maker service.
- Identify the basic use cases for Conversational Artificial Intelligence (AI) – The students should be able to identify the features and usage for a range of elements. These include personal digital assistants, webchat bots, and telephone voice menus. It also covers the skills in identifying the basic features of conversational Artificial Intelligence solutions.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
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Introducing Updated Microsoft Certified: Azure AI Fundamentals Designation
This certificate is an opportunity for candidates to showcase their mastery of the Machine Learning (ML) and Artificial Intelligence (AI) workloads and their implementation of Azure services. For that reason, AI-900 exam can be taken by all candidates from technical and non-technical fields. While software engineering and data science skills may not be required for such an evaluation, it is important to have general programming knowledge to stand a chance of cracking this test right away. By and large, the updated Microsoft Certified: Azure AI Fundamentals designation can help you advance your career growth by preparing you for advanced Azure role-based certifications including the Microsoft Certified: Azure AI Engineer Associate and the Microsoft Certified: Azure Data Scientist Associate certificates.
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Microsoft AI-900 中文 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
| Topic 2: Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
| Topic 3: Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Topic 4: Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
Microsoft Azure AI Fundamentals (AI-900中文版) Sample Questions:
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。
Correct Answer:

Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn documentation for Azure AI Custom Vision, this service is a specialized part of the Azure AI Vision family that enables developers to train custom image classification and object detection models. It allows organizations to build tailored computer vision models that recognize images or specific objects relevant to their business needs.
* Detect objects in an image # YesThe Azure AI Custom Vision service supports both image classification (assigning an image to one or more categories) and object detection (identifying and locating objects within an image using bounding boxes). This means it can indeed detect and differentiate multiple objects in a single image, making this statement true.
* Requires your own data to train the model # YesThe Custom Vision service is designed to be customizable. Unlike prebuilt Azure AI Vision models that work out of the box, Custom Vision requires you to upload and label your own dataset for training. The model then learns from your examples to perform specialized image recognition tasks relevant to your domain. Thus, this statement is also true.
* Analyze video files # NoWhile Custom Vision can analyze images, it does not directly process or analyze video files. Video analysis is handled by a different service-Azure Video Indexer-which can extract insights such as spoken words, scenes, and faces from videos.
In summary:
# Yes - Detect objects in images
# Yes - Requires your own data
# No - Does not analyze video files.
機器學習中迴歸模型的例子是什麼?
- A. 根據學生的年齡和教育成績劃分資料集中的學生數據
- B. 根據歷史資料、房子的大小和房子的臥室數量預測房子的銷售價格
- C. 透過分析影像來確定瀕危動物的數量
- D. 透過檢查使用者標記的大量電子郵件來識別垃圾郵件的子類型
Correct Answer: B 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
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. 臉部偵測
- B. 光學字元辨識 (OCR)
- C. 物體偵測
- D. 影像分類
Correct Answer: C 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
要完成句子,請在答案區中選擇適當的選項。
Correct Answer:

Explanation:
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud.
Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/
您正在建立一個基於 AI 的貸款審批應用程式。
您需要確保應用程式記錄貸款被批准或拒絕的原因,並向申請人提供報告。
這是微軟負責任Al原則的例子?
- A. 責任
- B. 公平
- C. 包容性
- D. 透明度
Correct Answer: D 🗳️
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