Vendor: Microsoft ➢ Exam Code: AI-102 ➢ Exam Name: Designing and Implementing a Microsoft Azure AI Solution ➢ Part of New Questions from PassLeader (Updated in May/2022) Visit PassLeader and Download Full Version AI-102 Exam Dumps NEW QUESTION 111 You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1. You plan to create a new Azure Cognitive Search service named service1. You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet. Solution: You deploy service1 and a private endpoint to vnet1. Does this meet the goal? A. Yes B. No Answer: A Explanation: A private endpoint is a network interface that uses a private IP address from your virtual network. This network interface connects you privately and securely to a service powered by Azure Private Link. By enabling a private endpoint, you're bringing the service into your virtual network. The service could be an Azure service such as: - Azure Storage - Azure Cosmos DB - Azure SQL Database Your own service using a Private Link Service. https://docs.microsoft.com/en-us/azure/private-link/private-endpoint-overview NEW QUESTION 112 You have a Language Understanding resource named lu1. You build and deploy an Azure bot named bot1 that uses lu1. You need to ensure that bot1 adheres to the Microsoft responsible AI principle of inclusiveness. How should you extend bot1? A. Implement authentication for bot1. B. Enable active learning for lu1. C. Host lu1 in a container. D. Add Direct Line Speech to bot1. Answer: D Explanation: This study source was downloaded by 100000789398261 from CourseHero.com on 11-15-2022 09:05:35 GMT -06:00 https://www.coursehero.com/file/175310964/May-2022-New-PassLeader-AI-102-Exam-Dumpspdf/ New VCE and PDF Exam Dumps from PassLeader AI-102 Exam Dumps AI-102 Exam Questions AI-102 PDF Dumps AI-102 VCE Dumps https://www.passleader.com/ai-102.html Inclusiveness: AI systems should empower everyone and engage people. Direct Line Speech is a robust, end-to-end solution for creating a flexible, extensible voice assistant. It is powered by the Bot Framework and its Direct Line Speech channel, that is optimized for voice-in, voice-out interaction with bots. https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/direct-line-speech NEW QUESTION 113 Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code: You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces. You need to increase the likelihood that the solution can detect faces in blurred images and images that contain sideways faces. What should you do? A. Use a different version of the Face API. B. Use the Computer Vision service instead of the Face service. C. Use the Identify method instead of the Detect method. D. Change the detection model. Answer: D Explanation: Evaluate different models. The best way to compare the performances of the detection models is to use them on a sample dataset. We recommend calling the Face - Detect API on a variety of images, especially images of many faces or of faces that are difficult to see, using each detection model. Pay attention to the number of faces that each model returns. https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/specifydetection-model NEW QUESTION 114 You have the following C# method: You need to deploy an Azure resource to the East US Azure region. The resource will be used to perform sentiment analysis. How should you call the method? A. create_resource("res1", "ContentModerator", "S0", "eastus") B. create_resource("res1", "TextAnalytics", "S0", "eastus") C. create_resource("res1", "ContentModerator", "Standard", "East US") D. create_resource("res1", "TextAnalytics", "Standard", "East US")