Free AI-102 Exam Braindumps
Designing and Implementing a Microsoft Azure AI Solution Questions 26–30 (page: 30)

Updated On: 10-Feb-2026

SIMULATION

You need to configure and publish bot12345678 to answer questions by using the frequently asked questions (FAQ) located at https://docs.microsoft.com/en-us/azure/bot-service/bot-service-resources-bot-framework-faq. The solution must use bot%@lab.LabInstance.Id-qna-qna%.

To complete this task, use the Microsoft Bot Framework Composer.

  1. See Explanation section for answer.

Answer(s): A

Explanation:

Step 1: Open Microsoft Bot Framework Composer

Step 2: Select the bot bot12345678

Step 3: Open the Configure page in Composer. Then select the Development resources, and scroll down to Azure QnA Maker.

Step 4: To access the Connect to QnA Knowledgebase action, you need to select + under the node you want to add the QnA knowledge base and then select Connect to QnAKnowledgeBase from the Access external resources action menu.



Step 5: Review the QnA Maker settings panel after selecting the QnA Maker dialog.
Use:
Instance: bot%@lab.LabInstance.Id-qna-qna%


Reference:

https://docs.microsoft.com/en-us/composer/how-to-create-qna-kb
https://docs.microsoft.com/en-us/composer/how-to-add-qna-to-bot



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

  1. Language service
  2. Content Moderator
  3. Computer Vision
  4. Form Recognizer

Answer(s): A

Explanation:

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



HOTSPOT (Drag and Drop is not supported)
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.

  1. See Explanation section for answer.

Answer(s): A

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



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?

  1. Migrate the data in HR to Azure Blob storage.
  2. Migrate the data in HR to the on-premises SQL server.
  3. Export the data in Finance to Azure Data Lake Storage.
  4. Ingest the data in Logs into Azure Sentinel.

Answer(s): C

Explanation:

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



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 https://www.luis.ai/.

  1. See Explanation section for answer.

Answer(s): A

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 “Travel” 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



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