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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Identify types of NLP solutions - Describe capabilities of Azure Language - Describe capabilities of Azure Speech - Describe capabilities of Azure Translator |
| Topic 2: Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Face - Describe capabilities of Azure Computer Vision - Describe capabilities of Azure Custom Vision - Identify types of computer vision solutions |
| Topic 3: Fundamental principles of machine learning on Azure | 15–20% | - Describe machine learning pipelines - Describe automated machine learning - Describe capabilities of Azure Machine Learning - Describe core concepts of machine learning |
| Topic 4: Features of generative AI workloads on Azure | 20–25% | - Describe responsible AI practices for generative AI - Describe use cases for generative AI - Describe capabilities of Azure OpenAI Service - Describe generative AI concepts |
| Topic 5: Artificial Intelligence workloads and considerations | 15–20% | - Describe responsible AI principles - Identify types of AI workloads - Describe considerations for developing AI solutions |
Microsoft AI-900 시험자료를 찾고 계시나요? PassTIP의Microsoft AI-900덤프가 고객님께서 가장 찾고싶은 자료인것을 믿어의심치 않습니다. Microsoft AI-900덤프에 있는 문제와 답만 기억하시면 시험을 쉽게 패스하여 자격증을 취득할수 있습니다. 시험불합격시 덤프비용 환불가능하기에 시험준비 고민없이 덤프를 빌려쓰는것이라고 생각하시면 됩니다.
질문 # 215
To complete the sentence, select the appropriate option in the answer area.
정답：
설명：
Explanation
Text Description automatically generated
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifie
질문 # 216
Match the types of computer vision 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 selection is worth one point.
정답：
설명：
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
질문 # 217
You need to create a customer support solution to help customers access information. The solution must support email, phone, and live chat channels. Which type of Al solution should you use?
정답：D
설명：
According to the Microsoft Azure AI Fundamentals (AI-900) official study materials and Microsoft Learn module "Describe features of common AI workloads", a chatbot (also known as a conversational AI agent) is a solution designed to interact with users through natural language conversation across multiple channels such as email, phone, webchat, and messaging apps.
Chatbots use Natural Language Processing (NLP) to interpret what users are saying, identify their intent, and provide relevant responses. In Azure, this functionality is implemented using the Azure Bot Service integrated with the Azure Cognitive Service for Language (Question Answering and Language Understanding). The study guide emphasizes that chatbots are used in customer service, information retrieval, and support automation to reduce the workload on human agents and improve response times.
The requirement in this question - supporting email, phone, and live chat channels - aligns exactly with the definition of a conversational AI chatbot, which can operate across multiple communication platforms.
Microsoft Learn clearly identifies that chatbots can be deployed to assist customers in retrieving information, answering FAQs, and escalating complex issues when necessary.
The other options are incorrect because:
* A. NLP is the underlying technology used by the chatbot but not the solution itself.
* B. Computer vision involves analyzing images or videos, which is unrelated to this scenario.
* C. Machine learning is a broader AI field and not a specific customer support solution type.
질문 # 218
To complete the sentence, select the appropriate option in the answer area.
정답：
설명：
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features
질문 # 219
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
Graphical user interface, text, application, email Description automatically generated
질문 # 220
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AI-900완벽한 시험덤프: https://www.passtip.net/AI-900-pass-exam.html
BONUS!!! PassTIP AI-900 시험 문제집 전체 버전을 무료로 다운로드하세요: https://drive.google.com/open?id=1D3WaHPJakhMHu21gW3wDBspXVifP6fW1