AI-900-CN試験無料問題集「Microsoft Azure AI Fundamentals (AI-900中文版) 認定」
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。


正解:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/overview
要完成句子,請在答案區中選擇適當的選項。


正解:

Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks
要完成句子,請在答案區中選擇適當的選項。


正解:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
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。


正解:

Reference:
https://docs.microsoft.com/en-gb/azure/cognitive-services/qnamaker/concepts/data-sources-and-content
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-service QnA maker conversational AI service and has nothing to do with SQL database You can easily create a user support bot solution on Microsoft Azure using a combination of two core technologies:
- QnA Maker. This cognitive service enables you to create and publish a knowledge base with built-in natural language processing capabilities.
- Azure Bot Service. This service provides a framework for developing, publishing, and managing bots on Azure.
https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/2-get-started-qna-bot LUIS is used to understand user intent from utterances.
Creating a language understanding application with Language Understanding consists of two main tasks. First you must define entities, intents, and utterances with which to train the language model - referred to as authoring the model. Then you must publish the model so that client applications can use it for intent and entity prediction based on user input.
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-service
您有一個包含員工清單及其照片的資料庫。
您正在標記員工的新照片。
對於以下每個陳述,如果該陳述為真,則選擇“是”。否則,選擇否。
注意:每個正確的選擇都值得一分。

您正在標記員工的新照片。
對於以下每個陳述,如果該陳述為真,則選擇“是”。否則,選擇否。
注意:每個正確的選擇都值得一分。

正解:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview
https://docs.microsoft.com/en-us/azure/cognitive-services/face/concepts/face-detection
要完成句子,請在答案區中選擇適當的選項。


正解:

Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks