You are designing an AI solution that will use IoT devices to gather data from conference attendees and then analyze the data. The IoT device will connect to an Azure IoT hub. You need to ensure that data contains no personally identifiable information before it is sent to the IoT hub. 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.
Correct Answer:
Explanation Note: ASA Edge jobs run in containers deployed to Azure IoT Edge devices. They are composed of two parts: * A cloud part that is responsible for job definition: users define inputs, output, query, and other settings (out of order events, etc.) in the cloud. * A module running on your IoT devices. It contains the ASA engine and receives the job definition from the cloud. References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge
AI-100 Exam Question 87
Your company plans to implement an Al solution that will analyse data from loT devices. Data from the devices will be analysed in real time. The results of the analysis will be stored in a SQL database. You need to recommend a data processing solution that uses the Transact-SQL language. Which data processing solution should you recommend?
You create an image classification model in Azure Machine Learning Studio. You need to deploy the model as a containerized web service. Which four 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.
Correct Answer:
Explanation The following diagram illustrates the complete deployment workflow: The deployment workflow includes the following steps: * Register the model in a registry hosted in your Azure Machine Learning Service workspace * Register an image that pairs a model with a scoring script and dependencies in a portable container * Deploy the image as a web service in the cloud or to edge devices * Monitor and collect data * Update a deployment to use a new image. References: https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/concept-model-management-and-deploym
AI-100 Exam Question 89
You are designing an AI solution that will provide feedback to teachers who train students over the Internet. The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms. You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements: Alert teachers if a student seems angry or distracted. Identify each student in the classrooms for attendance purposes. Allow the teachers to log the text of conversations between themselves and the students. Which Cognitive Services should you recommend?
Correct Answer: E
Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models. Face API enables you to search, identify, and match faces in your private repository of up to 1 million people. The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image such as anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. These emotions are understood to be cross-culturally and universally communicated with particular facial expressions. Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input. This service is powered by the same recognition technology that Microsoft uses for Cortana and Office products, and works seamlessly with the translation and text-to- speech. Incorrect Answers: Computer Vision or the QnA is not required. References: https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview https://azure.microsoft.com/en-us/services/cognitive-services/face/ https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text
AI-100 Exam Question 90
You have an app that records meetings by using speech-to-text capabilities from the Speech Services API. You discover that when action items are listed at the end of each meeting, the app transcribes the text inaccurately. You need to improve the accuracy of the meeting records. What should you do?
Correct Answer: D
Speech Services API with subscribtion to the Microsoft Text Translation API enables you to use Custom Translator to use your own data for more accurate translations. References: https://www.microsoft.com/en-us/translator/business/customization/ Integrate AI models into solutions Testlet 2 Overview Contoso, Ltd. has an office in New York to serve its North American customers and an office in Paris to serve its European customers. Existing Environment Infrastructure Each office has a small data center that hosts Active Directory services and a few off-the-shelf software solutions used by internal users. The network contains a single Active Directory forest that contains a single domain named contoso.com. Azure Active Directory (Azure AD) Connect is used to extend identity management to Azure. The company has an Azure subscription. Each office has an Azure ExpressRoute connection to the subscription. The New York office connects to a virtual network hosted in the US East 2 Azure region. The Paris office connects to a virtual network hosted in the West Europe Azure region. The New York office has an Azure Stack Development Kit (ASDK) deployment that is used for development and testing. Current Business Model Contoso has a web app named Bookings hosted in an App Service Environment (ASE). The ASE is in the virtual network in the East US 2 region. Contoso employees and customers use Bookings to reserve hotel rooms. Data Environment Bookings connects to a Microsoft SQL Server database named hotelDB in the New York office. The database has a view named vwAvailability that consolidates columns from the tables named Hotels, Rooms, and RoomAvailability. The database contains data that was collected during the last 20 years. Problem Statements Contoso identifies the following issues with its current business model: * European users report that access to Booking is slow, and they lose customers who must wait on the phone while they search for available rooms. * Users report that Bookings was unavailable during an outage in the New York data center for more than 24 hours. Requirements Contoso identifies the following issues with its current business model: * European users report that access to Bookings is slow, and they lose customers who must wait on the phone while they search for available rooms. * Users report that Bookings was unavailable during on outage in the New York data center for more than 24 hours. Business Goals Contoso wants to provide a new version of the Bookings app that will provide a highly available, reliable service for booking travel packages by interacting with a chatbot named Butler. Contoso plans to move all production workloads to the cloud. Technical requirements Contoso identifies the following technical requirements: * Data scientists must test Butler by using ASDK. * Whenever possible, solutions must minimize costs. * Butler must greet users by name when they first connect. * Butler must be able to handle up to 10,000 messages a day. * Butler must recognize the users' intent based on basic utterances. * All configurations to the Azure Bot Service must be logged centrally. * Whenever possible, solutions must use the principle of least privilege. * Internal users must be able to access Butler by using Microsoft Skype for Business. * The new Bookings app must provide a user interface where users can interact with Butler. * Users in an Azure AD group named KeyManagers must be able to manage keys for all Azure Cognitive Services. * Butler must provide users with the ability to reserve a room, cancel a reservation, and view existing reservations. * The new Bookings app must be available to users in North America and Europe if a single data center or Azure region fails. * For continuous improvement, you must be able to test Butler by sending sample utterances and comparing the chatbot's responses to the actual intent. * You must maintain relationships between data after migration.
