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You have a product support manual. You need to build a product support chatbot based on the manual. The solution must minimize development effort and costs. What should you use?
Question # 2
You have an Azure subscription. The subscription contains an Azure OpenAI resource that hosts a GPT-3.5 Turbo model named Model1. You configure Model1 to use the following system message: "You are an Al assistant that helps people solve mathematical puzzles. Explain your answers as if the request is by a 4- year-old." Which type of prompt engineering technique is this an example of?
Question # 3
You are building an app that uses a Language Understanding model to analyze text files. You need to ensure that the app can detect the following entities: • Temperatures • Currency values • Email addresses • Telephone numbers The solution must minimize development effort. Which model capability should you use?
Question # 4
You have a training dataset that contains 10,000 PDF documents. The documents contain scanned books, comics, and magazines. You are building a solution that will use Azure Al and a custom model. You need to train the model by using Language Studio. The solution must meet the following requirements: • Tag each item as a book, comic, or magazine. • Minimize development effort. What should you use?
Question # 5
You have an Azure DevOps pipeline named Pipeline1 that is used to deploy an app. Pipeline1 includes a step that will create an Azure AI services account. You need to add a step to Pipeline1 that will identify the created Azure AI services account. The solution must minimize development effort. Which Azure Command-Line interface (CLI) command should you run?
Question # 6
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You are building a chatbot that will use question answering in Azure Cognitive Service for Language. You have a PDF named Doc1.pdf that contains a product catalogue and a price list You upload Doc1.pdf and train the model. During testing, users report that the chatbot responds correctly to the following question: What is the price of ? The chatbot fails to respond to the following question: How much does < product > cost? You need to ensure that the chatbot responds correctly to both questions. Solution: From Language Studio, you add alternative phrasing to the question and answer pair, and then retrain and republish the model. Does this meet the goal?
Question # 7
You have an Azure subscription that contain an Azure OpenAI resource named AI1. You build a chatbot that uses AI1 to provide generation answers to specific questions. You need to ensure that the chatbot checks all input output for objectionable content. Which types of resource should you create first?
Question # 8
You have an Azure OpenAI model. You have 500 prompt-completion pairs that will be used as training data to fine-tune the model. You need to prepare the training data. Which format should you use for the training data file?
Question # 9
You have an Azure OpenAI model named All. You are building a web app named App1 by using the Azure OpenAI SDK You need to configure App1 to connect to All What information must you provide?
Question # 10
You are designing a content management system. You need to ensure that the reading experience is optimized for users who have reduced comprehensive and learning differences, such as dyslexia. Which Azure service should you include in the solution?
