AI-102 practice questions 141–150

1. Question 141 · 328 in bank

   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?

   • AEntity Linking
   • BNamed Entity Recognition
   • CSentiment Analysis
   • DKey Phrase Extraction

   Show answer

   Answer: B

   Explanation

   B. Named Entity Recognition Named Entity Recognition (NER) is a process in natural language processing that identifies and classifies named entities mentioned in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. Entity Linking typically involves linking entities to knowledge bases. Sentiment Analysis is used to determine the sentiment expressed in the text. Key Phrase Extraction identifies the main points or topics in a text but does not categorize them into entity types like NER does.

   Source: Adapted from community discussion — evangelist

   References

   • Microsoft Learn
   • Microsoft Learn

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2. Question 142 · 328 in bank

   SIMULATION - You need to configure bot12345678 support the French (FR-FR) language. Export the bot to C:\Resources\Bot\Bot1.zip. To complete this task, use the Microsoft Bot Framework Composer.

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Step 1: Open Microsoft Bot Framework Composer Step 2: Select the bot bot12345678 Step 3: Select Configure. Step 4: Select the Azure Language Understanding tab Step 5: Select the Set up Language Understanding button. The Set up Language Understanding window will appear, shown below: Step 6: Select Use existing resources and then select Next at the bottom of the window. Step 7: Now select the Azure directory, Azure subscription, and Language Understanding resource name (French). Step 8: Select Next on the bottom. Your Key and Region will appear on the next on the next window, shown below: Step 9. Select Done - Reference: https://docs.microsoft.com/en-us/composer/concept-language-understanding https://docs.microsoft.com/en-us/composer/how-to-add-luis

   Source: Adapted from community discussion — halfway

   References

   • Microsoft Learn

   

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3. Question 143 · 328 in bank

   You need to measure the public perception of your brand on social media by using natural language processing. Which Azure service should you use?

   • ALanguage service
   • BContent Moderator
   • CComputer Vision
   • DForm Recognizer

   Show answer

   Answer: A

   Explanation

   A is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/sentiment-opinion-mining/overview Sentiment analysis and opinion mining are features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. These features help you find out what people think of your brand or topic by mining text for clues about positive or negative sentiment, and can associate them with specific aspects of the text.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • azure.microsoft.com documentation

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4. Question 144 · 328 in bank

   HOTSPOT - You are developing an application that includes language translation. The application will translate text retrieved by using a function named get_text_to_be_translated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography. You need to develop code to translate the text to a single language. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Box 1: ("api-nam.cognitive.microsofttranslator.com") Geography USA: api-nam.cognitive.microsofttranslator.com Datacenters: East US, South Central US, West Central US, and West US 2 Box 2: "/translate?to=en" Must specify the language which it is being translated to. The 'to' parameter is required Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-reference https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn

   

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5. Question 145 · 328 in bank

   Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species. You need to add the new images to the classifier. Solution: You add the new images and labels to the existing model. You retrain the model, and then publish the model. Does this meet the goal?

   • AYes
   • BNo

   Show answer

   Answer: A

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6. Question 146 · 328 in bank

   You have the following data sources: ✑ Finance: On-premises Microsoft SQL Server database ✑ Sales: Azure Cosmos DB using the Core (SQL) API ✑ Logs: Azure Table storage ✑ HR: Azure SQL database You need to ensure that you can search all the data by using the Azure Cognitive Search REST API. What should you do?

   • AMigrate the data in HR to Azure Blob storage.
   • BMigrate the data in HR to the on-premises SQL server.
   • CExport the data in Finance to Azure Data Lake Storage.
   • DIngest the data in Logs into Azure Sentinel.

   Show answer

   Answer: C

   Explanation

   https://learn.microsoft.com/en-us/azure/search/search-indexer-overview#supported-data-sources Indexers crawl data stores on Azure and outside of Azure. - Azure Blob Storage - Azure Cosmos DB - Azure Data Lake Storage Gen2 - Azure SQL Database - Azure Table Storage - Azure SQL Managed Instance - SQL Server on Azure Virtual Machines - Azure Files (in preview) - Azure MySQL (in preview) - SharePoint in Microsoft 365 (in preview) - Azure Cosmos DB for MongoDB (in preview) - Azure Cosmos DB for Apache Gremlin (in preview)

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn

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7. Question 147 · 328 in bank

   SIMULATION - Use the following login credentials as needed: To enter your username, place your cursor in the Sign in box and click on the username below. To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: admin@abc.com - Azure Password: XXXXXXXXXXXX - The following information is for technical support purposes only: Lab Instance: 12345678 - Task - You need to create and publish a Language Understanding (classic) model named 1u12345678. The model will contain an intent of Travel that has an utterance of Boat. To complete this task, sign in to the Language Understanding portal at httptc//www.luis-ai/.

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Create your LUIS model - 1. You should navigate to your LUIS.ai management portal and create a new application. In the portal create a model. Model name: 1u12345678 - 2. Define one intent as ג€Travelג€ and add an example utterances of Boat. 3. Publish the model In order to use your model, you have to publish it. This is as easy as hitting the Publish tab, selecting between the production or staging environments, and hitting Publish. As you can see from this page, you can also choose to enable sentiment analysis, speech priming to improve speech recognition, or the spell checker. For now, you can leave those unchecked. Reference: https://docs.microsoft.com/en-us/azure/health-bot/language_model_howto https://www.codemag.com/article/1809021/Natural-Language-Understanding-with-LUIS

   Source: Adapted from community discussion — AnonymousJhb

   

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8. Question 148 · 328 in bank

   You have a Language service resource that performs the following: • Sentiment analysis • Named Entity Recognition (NER) • Personally Identifiable Information (PII) identification You need to prevent the resource from persisting input data once the data is analyzed. Which query parameter in the Language service API should you configure?

   • Amodel-version
   • BpiiCategories
   • CshowStats
   • DloggingOptOut

   Show answer

   Answer: D

   Explanation

   Another of the Microsoft greatness in naming conventions. loggingOutput=false means it will keep the data, if it is true it will not keep the data. Now make sense of that. https://learn.microsoft.com/en-us/legal/cognitive-services/language-service/data-privacy#how-is-data-retained-and-what-customer-controls-are-available "By default, this parameter is set to false for Language Detection, Key Phrase Extraction, Sentiment Analysis and Named Entity Recognition endpoints"

   Source: Adapted from community discussion — famco

   References

   • Microsoft Learn

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9. Question 149 · 328 in bank

   You have an Azure Cognitive Services model named Model1 that identifies the intent of text input. You develop an app in C# named App1. You need to configure App1 to use Model1. Which package should you add to App1?

   • AUniversal.Microsoft.CognitiveServices.Speech
   • BSpeechServicesToolkit
   • CAzure.AI.Language.Conversations
   • DXamarin.Cognitive.Speech

   Show answer

   Answer: C

   Explanation

   Azure Conversational Language Understanding is part of Azure Cognitive Services and is designed to understand the intent of text input. The Azure.AI.Language.Conversations package provides C# developers with the client libraries needed to interact with these services, enabling you to send text to models and receive the results of intent and entity recognition. Explanation of other options: A. Universal.Microsoft.CognitiveServices.Speech is primarily used for speech services such as speech-to-text conversion, and not specifically for text intent recognition.

   Source: Adapted from community discussion — evangelist

   References

   • Microsoft Learn
   • Microsoft Learn

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10. Question 150 · 328 in bank

    HOTSPOT - You are building content for a video training solution. You need to create narration to accompany the video content. The solution must use Custom Neural Voice. What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area. NOTE: Each correct answer is worth one point.

    

    This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

    Show the answer figure

    Answer: See figure below

    Explanation

    1. Speech Studio portal 2. Text-to-speech https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/custom-neural-voice#how-does-it-work To create a custom neural voice, use Speech Studio to upload the recorded audio and corresponding scripts, train the model, and deploy the voice to a custom endpoint. https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/text-to-speech Text to speech enables your applications, tools, or devices to convert text into humanlike synthesized speech. The text to speech capability is also known as speech synthesis. Use humanlike prebuilt neural voices out of the box, or create a custom neural voice that's unique to your product or brand.

    Source: Adapted from community discussion — zellck

    References

    • Microsoft Learn
    • Microsoft Learn

    

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AI-102 practice, question 141. 328 questions available.