Timed Mode Set 1 – AI102 Azure AI Engineer Associate

You are developing an AI-powered chatbot using the Azure OpenAI GPT-3.5 model. To enhance the response quality from the chatbot while keeping the solution simple, you want to implement strategies that will help achieve the goal with minimal development effort. You are considering leveraging Azure services, such as Azure Cognitive Services Text Analytics, to analyze user input.
Which two methods will best enhance the chatbot’s understanding and response accuracy? (Select TWO.)

Your Azure Subscription contains an Azure OpenAI service called OpenAIService, with a user named User1 assigned to it.

You need to ensure that User1 can carry out specific functions in Azure OpenAI Studio, such as identifying resource endpoints, viewing available models for deployment, and generating text and images using the deployed models.

You must assign the correct role to User1 by the principle of least privilege.

Which role would be appropriate to assign to User1?

You are working on an application that compares documents to assess similarity and have an Azure subscription. The solution must meet the following requirements: generate numeric vector representations for the tokens in each document and minimize development time and effort.

You are considering Azure Form Recognizer, which specializes in extracting structured data from documents, during your evaluation of several Azure services.

Which Azure OpenAI model would be the most appropriate for this task?

You are designing an intelligent assistant for a travel service that will utilize the Azure OpenAI GPT 3.5 model to help manage travel bookings. You need to refine how it generates answers to improve the accuracy of the assistant’s responses.

You are exploring leveraging Azure Cognitive Search to retrieve and utilize relevant travel data from various documents and databases.

What action should you take to achieve this goal?

You manage an Azure subscription with an Azure OpenAI resource hosting a GPT-4 model called ModelX. This model generates responses for a web application called AppX. You also have an Azure Cognitive Search resource integrated with other application parts.

You must configure ModelX properly to ensure that AppX does not generate inappropriate content, such as hate speech.

Which setting should you apply to ModelX to achieve this?

You are developing a travel booking assistant using the Microsoft Bot Framework SDK and plan to integrate Azure Event Grid to publish system events when users complete a booking. The assistant must prompt users to enter their intended departure date. If the input is invalid, the assistant should continue asking the same question until a valid date is received or the user cancels the interaction.

Which dialog type should be used to meet this requirement?

You are building a Conversational Language Understanding model in Azure. During user testing, the model responds incorrectly to queries unrelated to its intended functions. You should also consider integrating the Azure Bot Service to manage user interactions and enhance the conversation flow.

Your primary goal is to ensure the model can effectively recognize and filter out irrelevant or unrelated queries.

How should you improve the model’s ability to handle these queries?

You are developing a chatbot using the Microsoft Bot Framework SDK. The bot’s primary function is to process food orders from customers and allow them to customize each item.

You need it to request more specific information from the users to improve the bot’s conversational flow depending on the chosen food item. The solution should minimize development effort while remaining flexible and scalable. Additionally, Azure Logic Apps is not appropriate for this scenario because it is mainly used for automating workflows and integrating external services, not managing interactive user input in a chat environment.

Which two types of dialogs are the most appropriate for this use case? (SELECT TWO)

You are developing a chatbot that needs to query an existing knowledge base to provide accurate and quick responses to user queries. You are considering using Azure AI-Language services to index, analyze, and query the knowledge base.

Which dialog class is most effective for this requirement?

You are developing a conversational AI solution for a customer service application in Azure. The bot will assist users through a step-by-step product setup guide. You also came across Azure Logic Apps, a good tool for automating workflows while exploring your options.

You need to configure a dialog that will help guide the user through the product setup in a structured, sequential manner.

Which type of dialog should be configured for this purpose?