Microsoft Designing and Implementing a Microsoft Azure AI Solution AI-102 Exam Questions

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Total 414 questions
Question 1

You are developing a method for an application that uses the Translator API.

The method will receive the content of a webpage, and then translate the content into Greek (el). The result will also contain a transliteration that uses the Roman alphabet.

You need to create the URI for the call to the Translator API. You have the following URI.

https://api.cognitive.microsofttranslator.com/translate?api-version=3.0

Which three additional query parameters should you include in the URI? Each correct answer presents part of the solution. (Choose three.)

NOTE: Each correct selection is worth one point.



Answer : A, D, F

C: textType is an optional parameter. It defines whether the text being translated is plain text or HTML text (used for web pages).

D: to is a required parameter. It specifies the language of the output text. The target language must be one of the supported languages included in the translation scope.

F: toScript is an optional parameter. It specifies the script of the translated text. We use Latin (Roman alphabet) script.


https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate

Question 2

You are building a chatbot by using Microsoft Bot Framework Composer.

You need to configure the chatbot to present a list of available options. The solution must ensure that an image is provided for each option.

Which two features should you use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.



Answer : B, D


Question 3

You need to enable speech capabilities for a chatbot.

Which three actions should you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.



Answer : A, B, C

You can use the Speech service to voice-enable a chat bot.

The Direct Line Speech channel uses the text-to-speech service, which has neural and standard voices.

You'll need to make a small configuration change so that your bot can communicate with the Direct Line Speech channel using web sockets.


https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/tutorial-voice-enable-your-bot-speech-sdk

Question 4

You have a Video Indexer service that is used to provide a search interface over company videos on your company's website.

You need to be able to search for videos based on who is present in the video. What should you do?



Answer : A

Video Indexer supports multiple Person models per account. Once a model is created, you can use it by providing the model ID of a specific Person model when uploading/indexing or reindexing a video. Training a new face for a video updates the specific custom model that the video was associated with.

Note: Video Indexer supports face detection and celebrity recognition for video content. The celebrity recognition feature covers about one million faces based on commonly requested data source such as IMDB, Wikipedia, and top LinkedIn influencers. Faces that aren't recognized by the celebrity recognition feature are detected but left unnamed. Once you label a face with a name, the face and name get added to your account's Person model. Video Indexer will then recognize this face in your future videos and past videos.


https://docs.microsoft.com/en-us/azure/media-services/video-indexer/customize-person-model-with-api

Question 5

You have a video recording of a company meeting that includes presentations by multiple presenters.

You plan to use Azure AI Video Indexer to process the video and generate a separate text file for each presenter's presentation.

You need to identify each presenter in the video and attribute each text file to a presenter.

Which insight should you extract?



Answer : C


Question 6

You are developing a solution to generate a word cloud based on the reviews of a company's products.

Which Text Analytics REST API endpoint should you use?



Answer : A


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

Question 7

You have an Azure subscription that contains a Microsoft Foundry resource.

You need to build an app that will suggest product names from a given product description.

Which Foundry model should you use?



Answer : C


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