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Free AI-102 Exam Braindumps (page: 37)

Page 36 of 83
PDF with 329 Questions

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 httptc//www.luis-ai/.

  1. See Explanation Below for complete 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 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



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?

  1. model-version
  2. piiCategories
  3. showStats
  4. loggingOptOut

Answer(s): D



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?

  1. Universal.Microsoft.CognitiveServices.Speech
  2. SpeechServicesToolkit
  3. Azure.AI.Language.Conversations
  4. Xamarin.Cognitive.Speech

Answer(s): C






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