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- content: "A person plans to use an Azure Document Intelligence prebuilt invoice model. To extract document data using the model and REST API language, what are two calls they need to make to the API?"
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choices:
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- content: "Train Model and Get Model Labels"
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isCorrect: false
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explanation: "Incorrect: They don't need to train a prebuilt model."
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- content: "Analyze Invoice and Get Analyze Invoice Result"
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isCorrect: true
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explanation: "Correct: The Analyze Invoice function starts the form analysis and returns a result ID, which they can pass in a subsequent call to the Get Analyze Invoice Result function to retrieve the results."
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- content: "Create Azure Document Intelligence and Get Analyze Invoice Result"
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isCorrect: false
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explanation: "Incorrect: While they do need to create an Azure Document Intelligence or Azure AI Service resource to use Azure Document Intelligence services, Create Azure Document Intelligence isn't one of the REST API calls used to extract data."
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- content: "A person needs to build an application that submits expense claims and extracts the merchant, date, and total from scanned receipts. What's the **best** way to build the application?"
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choices:
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- content: "Use the Read API of the Computer Vision service."
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isCorrect: false
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explanation: "Incorrect: The Read API of the Computer Vision service can read text from an image, but it is best for you to use Azure Document Intelligence to extract key-value pairs."
explanation: "Correct: Use the Azure Document Intelligence's prebuilt receipts model. It can intelligently extract the required fields even if the scanned receipts have different names in them."
explanation: "Incorrect: The Layout service extracts the structured output from documents, but the best way to build this application is to use a model specific to receipts."
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- content: "A person is building a custom model with Azure Document Intelligence services. What is required to train a model?"
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choices:
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- content: "Along with the form to analyze, JSON files need to be provided."
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isCorrect: true
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explanation: "Correct: The labels needed in training are referenced in the **ocr.json** files, **labels.json** files, and single **fields.json** file."
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- content: "Training must be done through language-specific SDKs."
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isCorrect: false
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explanation: "Incorrect: Labeled training can be done through SDKs, REST API, or Azure Document Intelligence Studio."
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- content: "Nothing else is required."
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isCorrect: false
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explanation: "Incorrect: Labeled training requires JSON files to be provided when training a model, or those JSON files need to be generated before training your model."
- content: "A person plans to use an Azure Document Intelligence prebuilt invoice model. To extract document data using the model and REST API language, what are two calls they need to make to the API?"
20
+
choices:
21
+
- content: "Train Model and Get Model Labels"
22
+
isCorrect: false
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explanation: "Incorrect: They don't need to train a prebuilt model."
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- content: "Analyze Invoice and Get Analyze Invoice Result"
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+
isCorrect: true
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explanation: "Correct: The Analyze Invoice function starts the form analysis and returns a result ID, which they can pass in a subsequent call to the Get Analyze Invoice Result function to retrieve the results."
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- content: "Create Azure Document Intelligence and Get Analyze Invoice Result"
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isCorrect: false
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explanation: "Incorrect: While they do need to create an Azure Document Intelligence or Azure AI Service resource to use Azure Document Intelligence services, Create Azure Document Intelligence isn't one of the REST API calls used to extract data."
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- content: "A person needs to build an application that submits expense claims and extracts the merchant, date, and total from scanned receipts. What's the **best** way to build the application?"
31
+
choices:
32
+
- content: "Use the Read API of the Computer Vision service."
33
+
isCorrect: false
34
+
explanation: "Incorrect: The Read API of the Computer Vision service can read text from an image, but it is best for you to use Azure Document Intelligence to extract key-value pairs."
explanation: "Correct: Use the Azure Document Intelligence's prebuilt receipts model. It can intelligently extract the required fields even if the scanned receipts have different names in them."
explanation: "Incorrect: The Layout service extracts the structured output from documents, but the best way to build this application is to use a model specific to receipts."
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+
- content: "A person is building a custom model with Azure Document Intelligence services. What is required to train a model?"
42
+
choices:
43
+
- content: "Along with the form to analyze, JSON files need to be provided."
44
+
isCorrect: true
45
+
explanation: "Correct: The labels needed in training are referenced in the **ocr.json** files, **labels.json** files, and single **fields.json** file."
46
+
- content: "Training must be done through language-specific SDKs."
47
+
isCorrect: false
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+
explanation: "Incorrect: Labeled training can be done through SDKs, REST API, or Azure Document Intelligence Studio."
49
+
- content: "Nothing else is required."
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+
isCorrect: false
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explanation: "Incorrect: Labeled training requires JSON files to be provided when training a model, or those JSON files need to be generated before training your model."
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