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Designing and Implementing an Azure AI Solution Free Sample Questions

8 free sample questions50 in the full practice test Other version: AI-102(251)

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AI-100 Sample Questions

  1. Question 1

    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, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

    You are developing a Microsoft Bot Framework application. The application consumes structured NoSQL data that must be stored in the cloud.

    You implement Azure Blob storage for the application. You want access to the blob store to be controlled by using a role.

    Solution: You implement Shared Access Signatures (SAS) on the storage account.

    Does this meet the goal?

    Answer and explanation

    Correct answer: B

    Explanation:
    Shared access signatures (SAS) provide limited delegated access to resources in a storage account. Adding constraints on the time interval for which the signature is valid or on permissions it grants provides flexibility in managing access.
    Use Azure Active Directory (Azure AD) instead. -- Reference:
    https://docs.microsoft.com/en-us/azure/storage/common/storage-auth

  2. Question 2

    You are developing a mobile app. You want to implement search functionality in the app.

    You want uses to be able to search by inputting their query by typing or by using speech.

    Which core component should you implement for the app?

    Answer and explanation

    Correct answer: D

    Explanation:
    Azure Cognitive Search (formerly known as "Azure Search") is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications. Your code or a tool invokes data ingestion (indexing) to create and load an index. Optionally, you can add cognitive skills to apply Al processes during indexing. Doing so can add new information and structures useful for search and other scenarios.
    Incorrect answers:
    B: QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi­ structured content, including FAQs, manuals, and documents. Answer users’ questions with the best answers from the QnAs in your knowledge base—automatically. -- Reference:
    https://docs.microsoft.com/en-us/azure/search/search-what-is-azure-search

  3. Question 3

    You are developing a botfor an ecommerce application. The bot will require user authentication.

    You need to recommend a solution that provides encryption for the authentication of the bot.

    Which solutions should you include in the recommendation?

    Answer and explanation

    Correct answer: B

    Explanation:
    Your bot communicates with the Bot Connector service using HTTP over a secured channel (SSL/TLS).
    JSON Web Tokens are used to encode tokens that are sent to and from the bot. -- Reference:
    https://docs.microsoft.com/en-us/azure/bot-service/rest-api/bot-framework-rest-connector-authentication

  4. Question 4

    You are designing an Azure Batch Al solution that will perform image recognition. The solution will be used to train several Azure Machine Learning models.

    You need to enable versioning for Azure Machine Learning models.

    What should you do?

    Answer and explanation

    Correct answer: A

    Explanation:
    Model registration allows you to store and version your models in the Azure cloud, in your workspace. The model registry makes it easy to organize and keep track of your trained models.
    -- Reference:
    https://docs.microsoft.com/en-us/azure/machine-learning/studio/version-control https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where

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