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Microsoft인증 AI-900시험은 인기있는 IT자격증을 취득하는데 필요한 국제적으로 인정받는 시험과목입니다. Microsoft인증 AI-900시험을 패스하려면 ExamPassdump의Microsoft인증 AI-900덤프로 시험준비공부를 하는게 제일 좋은 방법입니다. ExamPassdump덤프는 IT전문가들이 최선을 다해 연구해낸 멋진 작품입니다. Microsoft인증 AI-900덤프구매후 업데이트될시 업데이트버전을 무료서비스료 제공해드립니다.
| Section | Weight | Objectives |
|---|---|---|
| Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
| Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
| Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
Microsoft 인증 AI-900시험대비덤프를 찾고 계시다면ExamPassdump가 제일 좋은 선택입니다.저희ExamPassdump에서는 여라가지 IT자격증시험에 대비하여 모든 과목의 시험대비 자료를 발췌하였습니다. ExamPassdump에서 시험대비덤프자료를 구입하시면 시험불합격시 덤프비용환불신청이 가능하고 덤프 1년 무료 업데이트서비스도 가능합니다. ExamPassdump를 선택하시면 후회하지 않을것입니다.
질문 # 53
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE; Each correct selection is worth one point.
정답：
설명：
질문 # 54
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
You can communicate with a bot by using email # No
You can communicate with a bot by using Microsoft Teams # Yes
You can communicate with a bot by using a webchat interface # Yes
These answers are based on the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore conversational AI in Microsoft Azure." The Azure Bot Service allows developers to build, test, deploy, and manage intelligent chatbots that can interact with users through various channels. Channels are communication platforms or interfaces that connect users to bots. Once a bot is built and published through the Azure Bot Service, it can be connected to multiple channels such as Microsoft Teams, webchat, Skype, Facebook Messenger, Direct Line, Slack, and others.
Let's evaluate each statement:
* You can communicate with a bot by using email # NoAzure Bot Service does not support direct interaction via email as a channel. Bots are designed for real-time or conversational interactions through messaging or voice-based platforms, not asynchronous email communication.
* You can communicate with a bot by using Microsoft Teams # YesMicrosoft Teams is one of the primary channels supported by Azure Bot Service. Bots can be integrated directly into Teams to handle chat-based conversations, provide information, automate workflows, or assist users interactively within Teams.
* You can communicate with a bot by using a webchat interface # YesThe Web Chat channel is another core feature of Azure Bot Service. It allows embedding the bot into a website or web application using the Web Chat control or the Direct Line API, enabling users to chat directly from a browser interface.
In summary, Azure Bot Service supports real-time conversational interfaces like Teams and webchat, but not email.
질문 # 55
You need to develop a chatbot for a website. The chatbot must answer users questions based on the information m the following documents
* A product troubleshooting guide m a Microsoft Word document
* A frequently asked questions (FAQ) list on a webpage
Which service should you use to process the documents?
정답：A
질문 # 56
Select the answer that correctly completes the sentence.
정답：
설명：
Explanation
질문 # 57
Match the types of computer vision workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once more than once, or not at all.
NOTE: Each correct match is worth one point.
정답：
설명：
Explanation:
In the Microsoft Azure AI Fundamentals (AI-900) curriculum, computer vision workloads are grouped into distinct types, each serving a specific purpose. The three major workloads illustrated here are image classification, object detection, and optical character recognition (OCR). Understanding their use cases is essential for correctly mapping them to real-world scenarios.
* Generate captions for images # Image classificationThe image classification workload is used to identify the main subject or context of an image and assign descriptive labels. In Microsoft Learn's
"Describe features of computer vision workloads," image classification models are trained to recognize content (e.g., a cat, a beach, or a city). Caption generation expands on classification results by describing the image's contents in human-readable language-based on what the model identifies as key visual features.
* Extract movie title names from movie poster images # Optical character recognition (OCR)OCR is a vision workload that detects and extracts text from images. Azure AI Vision's Read API or Document Intelligence OCR models can identify printed or handwritten text within posters, signs, or documents.
In this case, the movie title text from a poster is best extracted using OCR.
* Locate vehicles in images # Object detectionThe object detection workload identifies multiple objects within an image and provides their locations using bounding boxes. It's ideal for tasks like counting cars in a parking lot or tracking objects in traffic images.
질문 # 58
......
우리는 고객이 첫 번째 시도에서Microsoft AI-900 자격증시험을 합격할수있다는 것을 약속드립니다. Microsoft AI-900 시험을 합격하여 자격증을 손에 넣는다면 취직 혹은 연봉인상 혹은 승진이나 이직에 확실한 가산점이 될것입니다. Microsoft AI-900시험 어려운 시험이지만 저희Microsoft AI-900덤프로 조금이나마 쉽게 따봅시다.
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