You are designing a Computer Vision AI application. You need to recommend a deployment solution for the application. The solution must ensure that costs scale linearly without any upfront costs. What should you recommend?
Correct Answer: A
Explanation Containers enable you to run the Computer Vision APIs in your own environment. Note: The host is a x64-based computer that runs the Docker container. It can be a computer on your premises or a Docker hosting service in Azure, such as: * Azure Container Instances. * Azure Kubernetes Service. * A Kubernetes cluster deployed to Azure Stack. References: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/computer-vision-how-to-install-conta
Question 2
Your company plans to monitor twitter hashtags, and then to build a graph of connected people and places that contains the associated sentiment. The monitored hashtags use several languages, but the graph will be displayed in English. You need to recommend the required Azure Cognitive Services endpoints for the planned graph. Which Cognitive Services endpoints should you recommend?
Correct Answer: C
Sentiment analysis, which is also called opinion mining, uses social media analytics tools to determine attitudes toward a product or idea. Translator Text: Translate text in real time across more than 60 languages, powered by the latest innovations in machine translation. The Key Phrase Extraction skill evaluates unstructured text, and for each record, returns a list of key phrases. This skill uses the machine learning models provided by Text Analytics in Cognitive Services. This capability is useful if you need to quickly identify the main talking points in the record. For example, given input text "The food was delicious and there were wonderful staff", the service returns "food" and "wonderful staff". Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity- linking https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-keyphrases Analyze solution requirements 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.
Question 3
You plan to deploy the Text Analytics and Computer Vision services. The Azure Cognitive Services will be deployed to the West US and East Europe Azure regions. You need to identify the minimum number of service endpoints and API keys required for the planned deployment. What should you identify? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation Box 1: 2 After creating a Cognitive Service resource in the Azure portal, you'll get an endpoint and a key for authenticating your applications. You can access Azure Cognitive Services through two different resources: A multi-service resource, or a single-service one. Multi-service resource: Access multiple Azure Cognitive Services with a single key and endpoint. Note: You need a key and endpoint for a Text Analytics resource. Azure Cognitive Services are represented by Azure resources that you subscribe to. Each request must include your access key and an HTTP endpoint. The endpoint specifies the region you chose during sign up, the service URL, and a resource used on the request Box 2: 2 You need at least one key per region. References: https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account
Question 4
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
Question 5
You have a Face API solution that updates in real time. A pilot of the solution runs successfully on a small dataset. When you attempt to use the solution on a larger dataset that continually changes, the performance degrades, slowing how long it takes to recognize existing faces. You need to recommend changes to reduce the time it takes to recognize existing faces without increasing costs. What should you recommend?
Correct Answer: B
Explanation/Reference: Incorrect Answers: A: The purpose of Computer Vision is to inspects each image associated with an incoming article to (1) scrape out written words from the image and (2) determine what types of objects are present in the image. C: The Bing API provides an experience similar to Bing.com/search by returning search results that Bing determines are relevant to a user's query. The results include Web pages and may also include images, videos, and more. D: That would increase cost. References: https://github.com/Azure/cognitive-services
