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Microsoft AI-102 Exam

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Question 131
You need to measure the public perception of your brand on social media by using natural language processing.
Which Azure service should you use?
A. Language service
B. Content Moderator
C. Computer Vision
D. Form Recognizer
Azure Cognitive Service for Language is a cloud-based service that provides Natural Language Processing (NLP) features for understanding and analyzing text.
Use this service to help build intelligent applications using the web-based Language Studio, REST APIs, and client libraries.
Note: Natural language processing (NLP) has many uses: sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview

Question 132
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:
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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

Question 133
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: [email protected] -
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/.
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 "Travel" and add an example utterances of Boat.
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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

Question 134
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?
A. Migrate the data in HR to Azure Blob storage.
B. Migrate the data in HR to the on-premises SQL server.
C. Export the data in Finance to Azure Data Lake Storage.
D. Ingest the data in Logs into Azure Sentinel.
In Azure Cognitive Search, a data source is used with indexers, providing the connection information for ad hoc or scheduled data refresh of a target index, pulling data from supported Azure data sources.
Note: Supported data sources -
Indexers crawl data stores on Azure and outside of Azure.
Amazon Redshift (in preview)
Azure Blob Storage -
Azure Cosmos DB -
Azure Data Lake Storage Gen2 -
Azure MySQL (in preview)
Azure SQL Database -
Azure Table Storage -
Elasticsearch (in preview)
PostgreSQL (in preview)
Salesforce Objects (in preview)
Salesforce Reports (in preview)
Smartsheet (in preview)
Snowflake (in preview)
Azure SQL Managed Instance -
SQL Server on Azure Virtual Machines
Azure Files (in preview)
Reference:
https://docs.microsoft.com/en-us/azure/search/search-indexer-overview#supported-data-sources

Question 135
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?
A. model-version
B. piiCategories
C. showStats
D. loggingOptOut


Question 136
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?
A. Universal.Microsoft.CognitiveServices.Speech
B. SpeechServicesToolkit
C. Azure.AI.Language.Conversations
D. Xamarin.Cognitive.Speech

Question 137
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.
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Question 138
HOTSPOT
-
You are building a call handling system that will receive calls from French-speaking and German-speaking callers. The system must perform the following tasks:
• Capture inbound voice messages as text.
• Replay messages in English on demand.
Which Azure Cognitive Services services should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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Image AI-102_138R.png related to the Microsoft AI-102 Exam

Question 139
You are building a social media extension that will convert text to speech. The solution must meet the following requirements:
• Support messages of up to 400 characters.
• Provide users with multiple voice options.
• Minimize costs.
You create an Azure Cognitive Services resource.
Which Speech API endpoint provides users with the available voice options?
A. https://uksouth.api.cognitive.microsoft.com/speechtotext/v3.0/models/base
B. https://uksouth.customvoice.api.speech.microsoft.com/api/texttospeech/v3.0/longaudiosynthesis/voices
C. https://uksouth.tts.speech.microsoft.com/cognitiveservices/voices/list
D. https://uksouth.voice.speech.microsoft.com/cognitiveservices/v1?deploymentId={deploymentId}

Question 140
You develop a custom question answering project in Azure Cognitive Service for Language. The project will be used by a chatbot.
You need to configure the project to engage in multi-turn conversations.
What should you do?
A. Add follow-up prompts.
B. Enable active learning.
C. Add alternate questions.
D. Enable chit-chat.



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