You are troubleshooting an Azure AI Document Intelligence custom extraction model. When you test a new document, certain currency values are being extracted with the currency symbol missing. Where should you look in the JSON response structure to find the normalized value?
You are designing a high-throughput document processing pipeline using Azure AI Document Intelligence. To optimize latency and cost, you want to extract only the text and layout structures (paragraphs, lines, words, and tables) from a multi-page PDF without performing key-value extraction or using custom models. Which model ID should you specify in your API request?
You are configuring a custom extraction model in Azure AI Document Intelligence and want to compose multiple specialized models into a single endpoint that automatically classifies and routes documents. Which REST API endpoint should you use to create this composed model?
You are building an automated invoice processing pipeline using Azure AI Document Intelligence. Some incoming invoices contain handwritten vendor signatures and handwritten approval dates. Which feature must you ensure is supported and enabled when configuring your analysis request?
You are configuring an Azure AI Document Intelligence custom neural model training run. Which TWO prerequisites must be met regarding your training dataset? (Choose TWO)
Which THREE roles or permissions are typically required to successfully create, train, and manage custom models in Azure AI Document Intelligence Studio? (Choose THREE)
Your company processes complex purchase orders that vary significantly in layout across different vendors. You decide to train a Custom Neural model using Azure AI Document Intelligence Studio. What is the minimum number of documents required to train a Custom Neural model?
You are training a Custom Template model using Azure AI Document Intelligence. Your training dataset contains documents with multiple pages where the tables span across page breaks. How should you structure your training labels to handle multi-page tables correctly?
When composing multiple individual Custom Neural models into a single composed model in Azure AI Document Intelligence, which THREE behaviors or characteristics apply? Each correct selection represents a valid aspect.
You are using Azure AI Document Intelligence to extract data from a set of purchase orders. The documents have a consistent layout, but the training dataset contains only five labeled samples. You need to train a custom model that can extract fields such as order number, vendor name, and total amount. Which model type should you choose to achieve the best accuracy with minimal samples?
You are building a .NET console application that uses the Azure AI Document Intelligence SDK to analyze receipts. The application must submit a local PDF file for analysis using the prebuilt receipt model and then retrieve the extracted fields. You need to write the minimal code that initiates the analysis and returns the result. Which SDK method should you call on the DocumentAnalysisClient to start the analysis and obtain an operation handle?
You are developing an application that uses Azure AI Document Intelligence to extract data from receipts. You need to ensure that the extracted data includes the merchant name, transaction date, and total amount. You also want to handle documents where the receipt is rotated or skewed. Which TWO actions should you perform? (Choose two.)
You are using Azure AI Document Intelligence to extract data from a batch of invoices. You need to retrieve the extracted fields such as invoice ID, customer name, and total amount. Which API endpoint should you call to get the analysis results after submitting the document?
You are developing a custom extraction model using Azure AI Document Intelligence Studio. Your training dataset consists of multi-page invoices with varying structures, and some fields appear only on the final page. How should you structure your tagging configuration?
You are configuring an Azure AI Document Intelligence orchestration model to automatically classify and extract data from incoming customer correspondence, which includes invoices, work orders, and purchase orders. One of the component models is failing to classify documents correctly. How should you resolve this issue?
Your team needs to extract data from a large volume of standardized tax forms using Azure AI Document Intelligence. The forms have a fixed layout where fields are always in the exact same location. Which model type provides the fastest training and highest accuracy for this specific use case?
You are configuring an Azure AI Document Intelligence prebuilt model to extract key-value pairs from standard invoices. Which API operation should your application call to process the document asynchronously?
You are integrating Azure AI Document Intelligence into a web application. You call the analyzeDocument API and receive a 202 Accepted response. What is the correct pattern for your application to retrieve the final extraction results?
Which prebuilt Azure AI Document Intelligence model should you use to extract line items, merchant name, transaction date, and total tax from point-of-sale purchase receipts?
You are building an Azure AI Document Intelligence solution to process complex financial statements. Due to varying layouts across different financial institutions, you decide to use a custom neural model instead of a custom template model. What is a key architectural advantage of the custom neural model in this scenario?
You are using Azure AI Document Intelligence to extract information from identity documents, such as passports and driver licenses. Which prebuilt model should you select?
Your company processes business cards from international clients. Which prebuilt Azure AI Document Intelligence model should you use to extract names, company names, emails, and phone numbers from these cards?
You are implementing cross-domain document extraction where incoming PDFs contain complex nested tables with merged cells. You need to extract these tables accurately into structured JSON. Which capability of Azure AI Document Intelligence should you rely on?
You are training a custom template model in Azure AI Document Intelligence and notice that one of your key fields is consistently failing to extract on documents where the label text is vertically oriented. How should you address this issue?
You are auditing an Azure AI Document Intelligence solution for data privacy compliance. Documents contain sensitive Personally Identifiable Information (PII). When using prebuilt models or custom models, how is data handled by Microsoft regarding model training?
You are configuring an Azure AI Document Intelligence container for deployment in an on-premises disconnected environment. Which environment variable is mandatory for the container to start successfully and report billing usage?
When building a custom template model in Azure AI Document Intelligence Studio, which THREE types of data or attributes can you extract by labeling your training documents? (Choose THREE)
You are troubleshooting a low confidence score on specific fields extracted by your Azure AI Document Intelligence custom template model. Which TWO actions can help improve the extraction confidence for those fields? (Choose TWO)
When analyzing documents using Azure AI Document Intelligence, which THREE properties can be found within the returned JSON result object for an extracted table cell? (Choose THREE)
You are developing an application that needs to automatically extract key-value pairs and tabular data from standardized invoices without any prior labeled training data. Which Azure AI Document Intelligence model should you use?
You need to extract text lines, words, bounding polygons, and selection marks (such as radio buttons and checkboxes) from arbitrary documents without training. Which prebuilt model should you invoke?
You are migrating a custom extraction solution from a Custom Template model to a Custom Neural model in Azure AI Document Intelligence. What is a key advantage of choosing a Custom Neural model over a Custom Template model?
You are configuring an Azure AI Document Intelligence custom extraction pipeline that processes thousands of diverse medical forms daily. You notice that extraction confidence scores for certain hand-written fields are low. What is the most effective remediation step within the Document Intelligence workflow?
Your application uses the Azure AI Document Intelligence Prebuilt Receipt model to process customer receipts. A receipt contains a custom tip amount that is not explicitly categorized by the default prebuilt schema. How should you extract this custom value?
You are designing an information extraction solution using Azure AI Document Intelligence. Which TWO features are supported by Custom Neural models? Each correct selection represents a complete solution element.
Which THREE prebuilt document models are natively available out-of-the-box in Azure AI Document Intelligence? Each correct selection represents a valid prebuilt model.
You are developing an application to extract specific fields from invoices using Azure AI Document Intelligence. Which prebuilt model should you use for this task?
You are using Document Intelligence Studio to build a custom extraction model. You need to verify the model quality before deploying. Which metric is most critical?
Your custom extraction model is failing to identify fields on a new version of a document. You have labeled 50 documents. What is the most likely solution?
You are automating document processing. You want to trigger a workflow only after a Document Intelligence operation finishes. What is the standard way to implement this?
You are integrating Document Intelligence with Azure Blob Storage. You need to provide the model with a set of documents for training. How should you prepare the data?
You are building an Azure AI Document Intelligence solution to process US W-2 tax forms. The forms are scanned at varying resolutions and contain tables with employee wage details. You need to extract specific fields such as wages, tips, and other compensation, and social security wages. You want to minimize development effort and ensure high accuracy. Which approach should you use?
A financial services company uses a custom neural model in Azure AI Document Intelligence to extract fields from loan applications. After retraining the model with 30 additional labeled documents, field accuracy for the 'loanAmount' field dropped sharply, although the field was previously accurate. The new documents were labeled by a different team. You need to identify the most likely cause of the regression before retraining again. What should you investigate first?
You are developing a solution that must extract structured fields such as vendor name, invoice total, and due date from standard supplier invoices. The invoices come from many vendors but follow common invoice layouts. You want the fastest path to production without building or training a model. Which Azure AI Document Intelligence capability should you use?
You are deploying an Azure AI Document Intelligence custom extraction model for a regulated workload. Documents are uploaded to Azure Blob Storage in a private container, and no public network access is allowed. Your application runs in an Azure virtual network. You must ensure the Document Intelligence resource can access the documents for training and analysis without exposing them publicly. Which configuration should you implement?