You have an existing Language Understanding (LUIS) model for an internal bot.

You need to recommend a solution to add a meeting reminder functionality to the bot by using a prebuilt model. The solution must minimize the size of the model.

Which component of LUIS should you recommend?

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You have an on-premises repository that contains 5,000 videos. The videos feature demonstrations of the products sold by your company.

The company’s customers plan to search the videos by using the name of the product demonstrated in each video.

You need to build a custom search tool for the customers.

What should you do first?

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Your company manages a sports team.

The company sets up a video booth to record messages for the team.

Before replaying the messages on a video screen, you need to generate captions for the messages and check the sentiment of the video to ensure that only positive messages are played.

Which Azure Cognitive Services service should you use?

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HOTSPOT

You plan to build an app that will provide users with the ability to dictate messages and convert the messages into text.

You need to recommend a solution to meet the following requirements for the app:

– Must be able to transcribe streaming dictated messages that are longer than 15 seconds.

– Must be able to upload existing recordings to Azure Blob storage to be transcribed later.

Which solution should you recommend for each requirement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Correct Answer:

Explanation:

Box 1: The Speech SDK

The Speech SDK is not limited to 15 seconds.

Box 2: Batch Transcription API

Batch transcription is a set of REST API operations that enables you to transcribe a large amount of audio in storage. You can point to audio files with a shared access signature (SAS) URI and asynchronously receive transcription results. With the new v3.0 API, you have the choice of transcribing one or more audio files, or process a whole storage container.

Asynchronous speech-to-text transcription is just one of the features.

Reference:

https://github.com/Azure-Samples/cognitive-services-speech-sdk/issues/13

https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/batch-transcription

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?

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HOTSPOT

You plan to create an intelligent bot to handle internal user chats to the help desk of your company.

The bot has the following requirements:

– Must be able to interpret what a user means.

– Must be able to perform multiple tasks for a user.

– Must be able to answer questions from an existing knowledge base.

You need to recommend which solutions meet the requirements.

Which solution should you recommend for each requirement? To answer, drag the appropriate solutions to the correct requirements. Each solution may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

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Correct Answer:

Explanation:

Box 1: The Language Understanding (LUIS) service

Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user’s conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.

Box 2: Text Analytics API

The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.

Box 3: The QnA Maker service

QnA Maker is a cloud-based Natural Language Processing (NLP) service that easily creates a natural conversational layer over your data. It can be used to find the most appropriate answer for any given natural language input, from your custom knowledge base (KB) of information.

Incorrect Answers:

Dispatch tool library:

If a bot uses multiple LUIS models and QnA Maker knowledge bases (knowledge bases), you can use Dispatch tool to determine which LUIS model or QnA Maker knowledge base best matches the user input. The dispatch tool does this by creating a single LUIS app to route user input to the correct model.

Reference:

https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch

https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview

You are developing a mobile application that will perform optical character recognition (OCR) from photos.

The application will annotate the photos by using metadata, store the photos in Azure Blob storage, and then score the photos by using an Azure Machine Learning model.

What should you use to process the data?

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You are designing an AI solution that will analyze millions of pictures by using Azure HDInsight Hadoop cluster.

You need to recommend a solution for storing the pictures. The solution must minimize costs.

Which storage solution should you recommend?

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You are designing a real-time speech-to-text AI feature for an Android mobile app. The feature will stream data to the Speech service.

You need to recommend which audio format to use to serialize the audio. The solution must minimize the amount of data transferred to the cloud.

What should you recommend?

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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.

You need to recommend a data storage solution that meets the technical requirements.

What is the best data storage solution to recommend? More than one answer choice may achieve the goal. Select the BEST answer.

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