AI-102 practice questions 161–170

1. Question 161 · 328 in bank

   DRAG DROP - You have a Language Understanding solution that runs in a Docker container. You download the Language Understanding container image from the Microsoft Container Registry (MCR). You need to deploy the container image to a host computer. 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.

   

   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. From portal, export solution as package file. 2. From host computer, move package file to Docker input directory. 3. From host computer, run container and specify input directory. https://learn.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto?tabs=v3#how-to-use-the-container - Export package for container from LUIS portal or LUIS APIs. - Move package file into the required input directory on the host computer. Do not rename, alter, overwrite, or decompress the LUIS package file. - Run the container, with the required input mount and billing settings.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

   

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2. Question 162 · 328 in bank

   HOTSPOT - You are building a text-to-speech app that will use a custom neural voice. You need to create an SSML file for the app. The solution must ensure that the voice profile meets the following requirements: • Expresses a calm tone • Imitates the voice of a young adult female How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection 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. role 2. style https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-synthesis-markup-voice#speaking-styles-and-roles By default, neural voices have a neutral speaking style. You can adjust the speaking style, style degree, and role at the sentence level. The following table has descriptions of each supported style attribute. - style="gentle" Expresses a mild, polite, and pleasant tone, with lower pitch and vocal energy. The following table has descriptions of each supported role attribute. - role="YoungAdultFemale" The voice imitates a young adult female.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn

   

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3. Question 163 · 328 in bank

   Select 2

   You have a text-based chatbot. You need to enable content moderation by using the Text Moderation API of Content Moderator. Which two service responses should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

   • Apersonal data
   • Bthe adult classification score
   • Ctext classification
   • Doptical character recognition (OCR)
   • Ethe racy classification score

   Show answer

   Answer: AC

   Explanation

   AC is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/content-moderator/text-moderation-api Use Content Moderator's text moderation models to analyze text content, such as chat rooms, discussion boards, chatbots, e-commerce catalogs, and documents. The service response includes the following information: - Profanity: term-based matching with built-in list of profane terms in various languages - Classification: machine-assisted classification into three categories - Personal data - Auto-corrected text - Original text - Language

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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4. Question 164 · 328 in bank

   HOTSPOT - You are developing a text processing solution. You have the function shown below.

   

   For the second argument, you call the function and specify the following string. Our tour of Paris included a visit to the Eiffel Tower For each of the following statements, select Yes if the statement is true. Otherwise, select No.

   

   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

   Should be NYN: https://learn.microsoft.com/en-us/dotnet/api/azure.ai.textanalytics.textanalyticsclient.recognizeentities?view=azure-dotnet Definition: Runs a predictive model to identify a collection of named entities in the passed-in document, and categorize those entities into types such as person, location, or organization. This method does not extract phrases.

   Source: Adapted from community discussion — StrateqEBS

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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5. Question 165 · 328 in bank

   HOTSPOT - You are building an Azure web app named App1 that will translate text from English to Spanish. You need to use the Text Translation REST API to perform the translation. The solution must ensure that you have data sovereignty in the United States. How should you complete the URI? To answer, select the appropriate options in the answer area. NOTE: Each correct selection 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. api-nam.cognitive.microsofttranslator.com 2. translate https://learn.microsoft.com/en-us/azure/cognitive-services/Translator/reference/v3-0-reference#base-urls Requests to Translator are, in most cases, handled by the datacenter that is closest to where the request originated. If there's a datacenter failure when using the global endpoint, the request may be routed outside of the geography. To force the request to be handled within a specific geography, use the desired geographical endpoint. All requests are processed among the datacenters within the geography. - United States api-nam.cognitive.microsofttranslator.com https://learn.microsoft.com/en-us/azure/cognitive-services/translator/reference/rest-api-guide - translate Translate specified source language text into the target language text.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn

   

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6. Question 166 · 328 in bank

   HOTSPOT - You are developing a service that records lectures given in English (United Kingdom). You have a method named AppendToTranscriptFile that takes translated text and a language identifier. You need to develop code that will provide transcripts of the lectures to attendees in their respective language. The supported languages are English, French, Spanish, and German. 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: {"fr", "de", "es"} A common task of speech translation is to specify target translation languages, at least one is required but multiples are supported. The following code snippet sets both French and German as translation language targets. static async Task TranslateSpeechAsync() { var translationConfig = SpeechTranslationConfig.FromSubscription(SPEECH__SUBSCRIPTION__KEY, SPEECH__SERVICE__REGION); translationConfig.SpeechRecognitionLanguage = "it-IT"; // Translate to languages. See, https://aka.ms/speech/sttt-languages translationConfig.AddTargetLanguage("fr"); translationConfig.AddTargetLanguage("de"); } Box 2: TranslationRecognizer - After you've created a SpeechTranslationConfig, the next step is to initialize a TranslationRecognizer. Example code: static async Task TranslateSpeechAsync() { var translationConfig = SpeechTranslationConfig.FromSubscription(SPEECH__SUBSCRIPTION__KEY, SPEECH__SERVICE__REGION); var fromLanguage = "en-US"; var toLanguages = new List<string> { "it", "fr", "de" }; translationConfig.SpeechRecognitionLanguage = fromLanguage; toLanguages.ForEach(translationConfig.AddTargetLanguage); using var recognizer = new TranslationRecognizer(translationConfig); }

   Source: Adapted from community discussion — famco

   References

   • Microsoft Learn
   • Microsoft Learn

   

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7. Question 167 · 328 in bank

   DRAG DROP - You have a Docker host named Host1 that contains a container base image. You have an Azure subscription that contains a custom speech-to-text model named model1. You need to run model1 on Host1. 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.

   

   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

   Run the container with docker run: B (Request approval precedes), The docker run command will start the container when all three of the following options are provided with valid values: ApiKey, Billing, EULA https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-howto#billing-arguments D (Run container), C (Get model) Here's an example docker run command with placeholder values. … This command: • Runs a custom speech to text container from the container image. • Allocates 4 CPU cores and 8 GB of memory. • Loads the custom speech to text model from the volume input mount, for example, C:\CustomSpeech. • Exposes TCP port 5000 and allocates a pseudo-TTY for the container. • Downloads the model given the ModelId (if not found on the volume mount).

   Source: Adapted from community discussion — M25

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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8. Question 168 · 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 build a language model by using a Conversational Language Understanding. The language model is used to search for information on a contact list by using an intent named FindContact. A conversational expert provides you with the following list of phrases to use for training. • Find contacts in London. • Who do I know in Seattle? • Search for contacts in Ukraine. You need to implement the phrase list in Conversational Language Understanding. Solution: You create a new utterance for each phrase in the FindContact intent. Does this meet the goal?

   • AYes
   • BNo

   Show answer

   Answer: A

   Explanation

   A. Yes Creating a new utterance for each phrase in the FindContact intent is a correct approach to implement the phrase list in Conversational Language Understanding. This method trains the language model to recognize variations of how users might express the intent to find contacts in different locations, thereby improving the model's accuracy in identifying the FindContact intent.

   Source: Adapted from community discussion — evangelist

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9. Question 169 · 328 in bank

   DRAG DROP - You have a question answering project in Azure Cognitive Service for Language. You need to move the project to a Language service instance in a different Azure region. 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.

   

   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. From original instance, export existing project. 2. From new instance, import the project file. 3. From new instance, train and publish model. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/question-answering/how-to/migrate-knowledge-base

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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10. Question 170 · 328 in bank

    DRAG DROP - You are building a customer support chatbot. You need to configure the bot to identify the following: • Code names for internal product development • Messages that include credit card numbers The solution must minimize development effort. Which Azure Cognitive Service for Language feature should you use for each requirement? To answer, drag the appropriate features to the correct requirements. Each feature 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.

    

    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. Custom NER 2. PII detection https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/custom-named-entity-recognition/overview Custom NER enables users to build custom AI models to extract domain-specific entities from unstructured text, such as contracts or financial documents. By creating a Custom NER project, developers can iteratively label data, train, evaluate, and improve model performance before making it available for consumption. The quality of the labeled data greatly impacts model performance. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/personally-identifiable-information/overview PII detection is one of the 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. The PII detection feature can identify, categorize, and redact sensitive information in unstructured text. For example: phone numbers, email addresses, and forms of identification.

    Source: Adapted from community discussion — zellck

    References

    • Microsoft Learn
    • Microsoft Learn
    • Microsoft Learn

    

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AI-102 practice, question 161. 328 questions available.