Microsoft AI-102 Exam Practice Test Instant Access

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.

AtoScript=Cyrl

Bfrom=el

CtextType=html

Dto=el

EtextType=plain

FtoScript=Latn

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 have an Azure subscription that contains an Azure Al Document Intelligence resource named DM. DI1 uses the Standard SO pricing tier

You have the files shown in the following table.

Which files can you analyze by using DI1?

AFile1.pdf only

BFile2.jpg only

CFile3 tiff only

DFile2.jpg and File3.tiff only

EFile1.pdf,File2,jpg, and File3,tiff

Answer : D

Question 3

You are examining the Text Analytics output of an application.

The text analyzed is: "Our tour guide took us up the Space Needle during our trip to Seattle last week."

The response contains the data shown in the following table.

Which Text Analytics API is used to analyze the text?

ASentiment Analysis

BNamed Entity Recognition

CEntity Linking

DKey Phrase Extraction

Answer : B

Question 4

You are developing the knowledgebase.

You use Azure Video Analyzer for Media (previously Video indexer) to obtain transcripts of webinars.

You need to ensure that the solution meets the knowledgebase requirements.

What should you do?

ACreate a custom language model

BConfigure audio indexing for videos only

CEnable multi-language detection for videos

DBuild a custom Person model for webinar presenters

Answer : B

Can search content in different formats, including video

Audio and video insights (multi-channels). When indexing by one channel, partial result for those models will be available.

Keywords extraction: Extracts keywords from speech and visual text.

Named entities extraction: Extracts brands, locations, and people from speech and visual text via natural language processing (NLP).

Topic inference: Makes inference of main topics from transcripts. The 2nd-level IPTC taxonomy is included.

Artifacts: Extracts rich set of 'next level of details' artifacts for each of the models.

Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text.

https://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-for-media-docs/video-indexer-overview

Question 5

You are building an app that will include one million scanned magazine articles. Each article will be stored as an image file. You need to configure the app to extract text from the images. The solution must minimize development effort. What should you include in the solution?

AComputer Vision Image Analysis

Bthe Read API in Computer Vision

CForm Recognizer

DAzure Cognitive Service for Language

Answer : B

Question 6

You create a bot by using the Microsoft Bot Framework SDK.

You need to configure the bot to respond to events by using custom text responses.

What should you use?

Aan adaptive card

Ban activity handler

Ca dialog

Da skill

Answer : B

Question 7

You are developing the knowledgebase by using Azure Cognitive Search.

You need to process wiki content to meet the technical requirements.

What should you include in the solution?

Aan indexer for Azure Blob storage attached to a skillset that contains the language detection skill and the text translation skill

Ban indexer for Azure Blob storage attached to a skillset that contains the language detection skill

Can indexer for Azure Cosmos DB attached to a skillset that contains the document extraction skill and the text translation skill

Dan indexer for Azure Cosmos DB attached to a skillset that contains the language detection skill and the text translation skill

Answer : C

The wiki contains text in English, French and Portuguese.

Scenario: All planned projects must support English, French, and Portuguese.

The Document Extraction skill extracts content from a file within the enrichment pipeline. This allows you to take advantage of the document extraction step that normally happens before the skillset execution with files that may be generated by other skills.

Note: The Translator Text API will be used to determine the from language. The Language detection skill is not required.

https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-document-extraction

https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-text-translation

Microsoft AI-102 Designing and Implementing a Microsoft Azure AI Solution Exam Practice Test