AI-102 practice questions 271–280

1. Question 271 · 328 in bank

   HOTSPOT - You have a chatbot. You need to ensure that the bot conversation resets if a user fails to respond for 10 minutes. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. send_activity 2. clear_state https://learn.microsoft.com/en-us/azure/bot-service/bot-builder-howto-expire-conversation?view=azure-bot-service-4.0&tabs=python#user-interaction-expiration # Notify the user that the conversation is being restarted. - await turn_context.send_activity( # Clear state. - await self.conversation_state.clear_state(turn_context)

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

   

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2. Question 272 · 328 in bank

   You develop a Conversational Language Understanding model by using Language Studio. During testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the model. You need to ensure that the model identifies spurious requests. What should you do?

   • AEnable active learning.
   • BAdd entities.
   • CAdd examples to the None intent.
   • DAdd examples to the custom intents.

   Show answer

   Answer: C

   Explanation

   C is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/conversational-language-understanding/concepts/none-intent#adding-examples-to-the-none-intent The None intent is also treated like any other intent in your project. If there are utterances that you want predicted as None, consider adding similar examples to them in your training data. For example, if you would like to categorize utterances that are not important to your project as None, such as greetings, yes and no answers, responses to questions such as providing a number, then add those utterances to your intent. You should also consider adding false positive examples to the None intent. For example, in a flight booking project it is likely that the utterance "I want to buy a book" could be confused with a Book Flight intent. Adding "I want to buy a book" or "I love reading books" as None training utterances helps alter the predictions of those types of utterances towards the None intent instead of Book Flight.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

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3. Question 273 · 328 in bank

   Select 3

   You have a Speech resource and a bot that was built by using the Microsoft Bot Framework Composer. You need to add support for speech-based channels to the bot. Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

   • AConfigure the language and voice settings for the Speech resource.
   • BAdd the endpoint and key of the Speech resource to the bot.
   • CAdd language understanding to dialogs.
   • DAdd Orchestrator to the bot.
   • EAdd Speech to the bot responses.
   • FRemove the setSpeak configuration.

   Show answer

   Answer: ABE

   Explanation

   To add support for speech-based channels to a bot built with the Microsoft Bot Framework Composer, you should perform the following actions: Add the endpoint and key of the Speech resource to the bot (B): You need to configure the bot to connect to the Speech resource, which will enable the bot to convert text into speech and vice versa. Add Speech to the bot responses (E): You should update your bot's responses to include speech output. This is important for speech-based channels, as the bot will need to generate spoken responses for users. Configure the language and voice settings for the Speech resource (A): Configuring the language and voice settings in your Speech resource is important to ensure that the speech output is generated in the desired language and with the appropriate voice. The other options (C, D, and F) are not directly related to adding support for speech-based channels and can be considered unrelated to this specific task. (ChatGPT)

   Source: Adapted from community discussion — rdemontis

   References

   • Microsoft Learn

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4. Question 274 · 328 in bank

   DRAG DROP - You are building a bot. You need to test the bot in the Bot Framework Emulator. The solution must ensure that you can debug the bot interactively. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. In code, create new trace activity 2. In code, send a trace activity 3. Run bot app on local host https://learn.microsoft.com/en-us/azure/bot-service/using-trace-activities?view=azure-bot-service-4.0&tabs=csharp A trace activity is an activity that your bot can send to the Bot Framework Emulator. You can use trace activities to interactively debug a bot, as they allow you to view information about your bot while it runs locally. Trace activities are sent only to the Emulator and not to any other client or channel. The Emulator displays them in the log but not the main chat panel.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

   

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5. Question 275 · 328 in bank

   HOTSPOT - You have a bot that was built by using the Microsoft Bot Framework composer as shown in the following exhibit.

   

   Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. identity New York as city entity 2. Language Understanding intent recognised https://learn.microsoft.com/en-us/composer/concept-language-understanding?tabs=v2x#entities Entities are a collection of objects, each consisting of data extracted from an utterance such as places, times, and people. Entities and intents are both important data extracted from utterances. An utterance may include zero or more entities, while an utterance usually represents one intent. In Composer, all entities are defined and managed inline. Entities in the .lu file format are denoted using {\ =\ } notation. https://learn.microsoft.com/en-us/composer/concept-events-and-triggers?tabs=v2x#intent-triggers

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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6. Question 276 · 328 in bank

   You are building a flight booking bot by using the Microsoft Bot Framework SDK. The bot will ask users for the departure date. The bot must repeat the question until a valid date is given, or the users cancel the transaction. Which type of dialog should you use?

   • Aprompt
   • Badaptive
   • Cwaterfall
   • Daction

   Show answer

   Answer: A

   Explanation

   A is the answer. https://learn.microsoft.com/en-us/azure/bot-service/bot-builder-concept-dialog?view=azure-bot-service-4.0#dialog-types The dialogs library provides a few types of dialogs to make your bot's conversations easier to manage. - prompt dialogs Ask the user for input and return the result. A prompt will repeat until it gets valid input or it's canceled. They're designed to work with waterfall dialogs.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn

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7. Question 277 · 328 in bank

   HOTSPOT - You have a chatbot. You need to test the bot by using the Bot Framework Emulator. The solution must ensure that you are prompted for credentials when you sign in to the bot. Which three settings should you configure? To answer, select the appropriate settings in the answer area. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. Enter the local path to ngrok. 2. Enable Run ngrok when the Emulator starts up. 3. Enable Use version 1.0 authentication tokens. https://learn.microsoft.com/en-us/azure/bot-service/bot-service-debug-emulator?view=azure-bot-service-4.0&tabs=csharp#using-authentication-tokens

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

   

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8. Question 278 · 328 in bank

   You are building a bot on a local computer by using the Microsoft Bot Framework. The bot will use an existing Language Understanding model. You need to translate the Language Understanding model locally by using the Bot Framework CLI. What should you do first?

   • AFrom the Language Understanding portal, clone the model.
   • BExport the model as an .lu file.
   • CCreate a new Speech service.
   • DCreate a new Language Understanding service.

   Show answer

   Answer: B

   Explanation

   "B. Export the model as an .lu file. When you need to translate a Language Understanding (LUIS) model using the Microsoft Bot Framework CLI locally, the first step is to export the existing LUIS model as a .lu file. The .lu file format (Language Understanding file format) allows you to represent intents, entities, and other model components in a text-based form, enabling you to process, modify, or translate them using the Bot Framework CLI. This is a crucial step for working with and integrating LUIS models in a local environment."

   Source: Adapted from community discussion — evangelist

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9. Question 279 · 328 in bank

   You build a bot. You create an Azure Bot resource. You need to deploy the bot to Azure. What else should you create?

   • Aonly an app registration in Microsoft Azure Active Directory (Azure AD), part of Microsoft Entra, an Azure App Service instance, and an App Service plan
   • Bonly an app registration in Microsoft Azure Active Directory (Azure AD), part of Microsoft Entra, an Azure Kubernetes Service (AKS) instance, and a container image
   • Conly an Azure App Service instance, and an App Service plan
   • Donly an Azure Machine Learning workspace and an app registration in Microsoft Azure Active Directory (Azure AD), part of Microsoft Entra

   Show answer

   Answer: A

   Explanation

   To deploy a bot to Azure, at a minimum you need: An app registration in Azure AD to represent the bot identity An App Service instance to host the bot web service An App Service plan which defines the pricing tier and scale for the App Service

   Source: Adapted from community discussion — evangelist

   References

   • Microsoft Learn

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10. Question 280 · 328 in bank

    Select 2

    You are building a chatbot by using the Microsoft Bot Framework SDK. The bot will be used to accept food orders from customers and allow the customers to customize each food item. You need to configure the bot to ask the user for additional input based on the type of item ordered. The solution must minimize development effort. Which two types of dialogs should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

    • Aadaptive
    • Baction
    • Cwaterfall
    • Dprompt
    • Einput

    Show answer

    Answer: CD

    Explanation

    =======Waterfall Dialogs===========: Guide users through a predefined, linear sequence of steps. Each step prompts the user for specific input, and the bot moves to the next step based on the user's response. Useful for structured conversations where the bot needs to collect information in a specific order. Ideal for gathering customization options for food items in a structured way. ========Prompt Dialogs===========: Simple dialogs that present a prompt to the user and wait for their response. Can be used within waterfall dialogs or as standalone prompts. Offer flexibility in how you ask questions and collect user input. Can be incorporated within waterfall dialogs to ask for customization details for each item.

    Source: Adapted from community discussion — evangelist

    References

    • Microsoft Learn

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AI-102 practice, question 271. 328 questions available.