Discover the correct parameters and values for deploying Azure AI Document Intelligence using Bicep. Simplify your setup with this easy-to-follow guide.
Table of Contents
Question
You plan to deploy a Document Intelligence resource with a Bicep file which contains the following code:
@description('That name is the Document Intelligence
@description('Location for all resources.')
param location string = resourceGroup().location
@allowed([
'S0'
])
param sku string = 'S0'
resource account 'A@2024-07-01' = {
name: ‘DocumentIntelligenceDemo’
location: ‘westeurope’
}
sku: {
name: sku
}
kind: B
}
}
How should you complete the Bicep file?
Drag the variable, parameter, or value to the appropriate letter.
Variable, parameter, or value:
- Microsoft.LearningServices/accounts
- Microsoft.Cognitiveservices/accounts
- TextAnalytics
- TextTranslation
- FormRecognizer
- ContentModerator
Answer
A. Microsoft.CognitiveServices/accounts
B. FormRecognizer
Explanation
The Bicep file for creating a Document Intelligence resource would look similar to the following:
@description('That name is the Document Intelligence
@description('Location for all resources.')
param location string = resourceGroup().location
@allowed([
'S0'
])
param sku string = 'S0'
resource account 'Microsoft.CognitiveServices/accounts@2024-07-01' = {
name: ‘DocumentIntelligenceDemo’
location: ‘westeurope’
}
sku: {
name: sku
}
kind: FormRecognizer
}
}
The resource account for any Azure resource that uses an AI service, such as Document Intelligence, Vision, Speech, Text Analytics, Text Translation, Anomaly Detector, or Content Safety, uses a Cognitive Services account, not a Machine Learning service. Azure Cognitive Services provides services such as natural language processing, speech recognition, computer vision, decision making, and OpenAI. Azure Machine Learning is a platform that uses algorithms to analyze huge chunks of data so that computers can learn without being stringently programmed. The Document Intelligence service uses FormRecognizer as the kind for either an ARM template or a BICEP file. The following provides more information regarding the services and the kind type used for each service.
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