Exam Details

  • Exam Code
    :AI-102
  • Exam Name
    :Designing and Implementing a Microsoft Azure AI Solution
  • Certification
    :Role-based
  • Vendor
    :Microsoft
  • Total Questions
    :335 Q&As
  • Last Updated
    :May 02, 2024

Microsoft Role-based AI-102 Questions & Answers

  • Question 21:

    You train a Conversational Language Understanding model to understand the natural language input of users.

    You need to evaluate the accuracy of the model before deploying it.

    What are two methods you can use? Each correct answer presents a complete solution.

    NOTE: Each correct selection is worth one point.

    A. From the language authoring REST endpoint, retrieve the model evaluation summary.

    B. From Language Studio, enable Active Learning, and then validate the utterances logged for review.

    C. From Language Studio, select Model performance.

    D. From the Azure portal, enable log collection in Log Analytics, and then analyze the logs.

  • Question 22:

    You have a text-based chatbot.

    You need to enable content moderation by using the Text Moderation API of Content Moderator.

    Which two service responses should you use?

    Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.

    A. the adult classification score

    B. optical character recognition (OCR)

    C. personal data

    D. text classification

    E. the racy classification score

  • Question 23:

    You are building a bot by using Microsoft Bot Framework.

    You need to configure the bot to respond to spoken requests. The solution must minimize development effort.

    What should you do?

    A. Deploy the bot to Azure and register the bot with a Direct Une Speech channel

    B. Integrate the bot with Cortana by using the Bot Framework SDK.

    C. Create an Azure function that will call the Speech service and connect the bot to the function.

    D. Deploy the bot to Azure and register the bot with a Microsoft Teams channel.

  • Question 24:

    You have a mobile app that manages printed forms.

    You need the app to send images of the forms directly to Forms Recognizer to extract relevant information. For compliance reasons, the image files must not be stored in the cloud.

    In which format should you send the images to the Form Recognizer API endpoint?

    A. raw image binary

    B. form URL encoded

    C. JSON

  • Question 25:

    You have an Azure subscription that contains an Azure Cognitive Service for Language resource.

    You need to identify the URL of the REST interface for the Language service.

    Which blade should you use in the Azure portal?

    A. Identity

    B. Keys and Endpoint

    C. Properties

    D. Networking

  • Question 26:

    You are building a social media extension that will convert text to speech. The solution must meet the following requirements:

    1.

    Support messages of up to 400 characters.

    2.

    Provide users with multiple voice options.

    3.

    Minimize costs.

    You create an Azure Cognitive Services resource.

    Which Speech API endpoint provides users with the available voice options?

    A. https://uksouth.customvoice.apispeech.microsoft.eom/api/texttospeech/v3.0/longaudiosynt hesis/voices

    B. https://uksouth.tts.speech.microsoft.conT/cognitiveservices/voices/list

    C. https://uksouth.voice.speech.microsoft.com/cognitiveservices/v1?deploymentld = {deploymentld>

    D. https://uksouth.api.cognitive.microsoft.eom/speechtotext/v3.0/models/base

  • Question 27:

    You develop a custom question answering project in Azure Cognitive Service for Language. The project will be used by a chatbot. You need to configure the project to engage in multi-turn conversations. What should you do?

    A. Add follow-up prompts.

    B. Enable active learning.

    C. Add alternate questions.

    D. Enable chit-chat.

  • Question 28:

    You are building a Conversational Language Understanding model.

    You need to ensure that the model will support the following sample utterances:

    1.

    Set all the lights to on.

    2.

    Turn off the lights in the living room.

    3.

    What is the current thermostat temperature?

    4.

    Lower the temperature of the thermostat by five degrees.

    Which three elements should you add to the model?

    Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

    A. a location Intent

    B. a change setting entity

    C. a device intent

    D. a change setting intent

    E. a query setting intent

    F. a device entity

  • Question 29:

    You are building a Language Understanding solution.

    You discover that many intents have similar utterances containing airport names or airport codes.

    You need to minimize the number of utterances used to fram the model.

    Which type of custom entity should you use?

    A. Pattera.any

    B. machine-learning

    C. list

    D. regular expression

  • Question 30:

    You need to measure the public perception of your brand on social media by using natural language processing. Which Azure service should you use?

    A. Content Moderator

    B. Form Recognizer

    C. Computer Vision

    D. Language service

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