AI-102 practice questions 221–230

1. Question 221 · 328 in bank

   HOTSPOT - You have an Azure subscription that contains an Azure AI Document Intelligence resource named DI1. You create a PDF document named Test.pdf that contains tabular data. You need to analyze Test.pdf by using DI1. How should you complete the command? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Looks correct. ... each table cell is extracted with: Its content text. The size and position of its bounding box. If it's part of a header column. Indexes to indicate its row and column position in the table. https://learn.microsoft.com/en-us/training/modules/use-prebuilt-form-recognizer-models/3-use-general-document-read-layout-models

   Source: Adapted from community discussion — Ody

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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2. Question 222 · 328 in bank

   You have an Azure AI Search resource named Search1. You have an app named App1 that uses Search1 to index content. You need to add a custom skill to App1 to ensure that the app can recognize and retrieve properties from invoices by using Search1. What should you include in the solution?

   • AAzure AI Immersive Reader
   • BAzure OpenAI
   • CAzure AI Document Intelligence
   • DAzure AI Custom Vision

   Show answer

   Answer: C

   Explanation

   The correct answer is: C. Azure AI Document Intelligence Reasoning: To ensure the app can recognize and retrieve properties from invoices using Azure AI Search, you need a service that specializes in analyzing and extracting data from structured documents like invoices. Azure AI Document Intelligence (formerly known as Form Recognizer) provides pre-built models for processing invoices, extracting fields such as invoice numbers, dates, totals, and more. You can integrate Azure AI Document Intelligence with Azure Cognitive Search by adding a custom skill to the search pipeline, allowing the app to extract and index specific properties from invoices. This ensures that App1 can retrieve relevant content from the invoices efficiently.

   Source: Adapted from community discussion — a8da4af

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3. Question 223 · 328 in bank

   HOTSPOT - You have an Azure subscription. You plan to build a solution that will analyze scanned documents and export relevant fields to a database. You need to recommend an Azure AI Document Intelligence model for the following types of documents: • Expenditure request authorization forms • Structured and unstructured survey forms • Structured employment application forms The solution must minimize development effort and costs. Which type of model should you recommend for each document type? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Based on the document types and the requirement to minimize development effort and costs, here are the recommendations: Expenditure Request Authorization Forms: Recommended Model: Prebuilt Invoice Reason: This model is designed to handle structured financial documents and can be easily adapted for expenditure request forms, requiring minimal customization. Structured and Unstructured Survey Forms: Recommended Model: Prebuilt Layout Reason: This model is ideal for documents with both structured and unstructured content, making it suitable for various survey forms without extensive training. Structured Employment Application Forms: Recommended Model: Custom Template Reason: This model allows you to train the system with a few examples of your specific employment application form, making it efficient and cost-effective for documents with a consistent structure. These choices should help streamline your document processing while keeping development effort and costs to a minimum.

   Source: Adapted from community discussion — pabsinaz

   

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4. Question 224 · 328 in bank

   You have an Azure subscription that contains an Azure AI Document Intelligence resource named AIdoc1 in the S0 tier. You have the files shown in the following table.

   

   You need to train a custom extraction model by using AIdoc1. Which files can you upload to Document Intelligence Studio?

   • AFile1, File2, and File4 only
   • BFile2, and File5 only
   • CFile2, File4, and File5 only
   • DFile1, File2, File3, File4, and File5
   • EFile1 and File2 only

   Show answer

   Answer: E

   Explanation

   Given the updated information that the S0 tier now supports files up to 500 MB, let’s re-evaluate each file's compatibility with Azure AI Document Intelligence: File1 (JPG, 400MB) - Supported format and within the 500MB limit (supported). File2 (PDF, 250MB) - Supported format and within the 500MB limit (supported). File3 (PNG, 600MB) - Supported format but exceeds the 500MB limit (not supported). File4 (XLSX, 900MB) - Unsupported format (not supported). File5 (PDF, 160MB, password-locked) - Password-protected, which is not supported (not supported). Given this, the files that can be uploaded are: File1 (JPG, 400MB) File2 (PDF, 250MB) Correct answer: E. File1 and File2 only

   Source: Adapted from community discussion — a8da4af

   References

   • Microsoft Learn

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5. Question 225 · 328 in bank

   You have an Azure subscription that contains an Azure AI Document Intelligence resource named DI1. DI1 uses the Standard S0 pricing tier. You have the files shown in the following table.

   

   Which files can you analyze by using DI1?

   • AFile 1.pdf only
   • BFile2.jpg only
   • CFile3.tiff only
   • DFile2.jpg and File3.tiff only
   • EFile1.pdf, File2.jpg, and File3.tiff

   Show answer

   Answer: C

   Explanation

   Have a look on any of the prebuilt models and you will see File3.tiff is the only one that fits. https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/contract?view=doc-intel-4.0.0#input-requirements

   Source: Adapted from community discussion — chrillelundmark

   References

   • Microsoft Learn
   • Microsoft Learn

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6. Question 226 · 328 in bank

   You have an existing Azure Cognitive Search service. You have an Azure Blob storage account that contains millions of scanned documents stored as images and PDFs. You need to make the scanned documents available to search as quickly as possible. What should you do?

   • ASplit the data into multiple blob containers. Create a Cognitive Search service for each container. Within each indexer definition, schedule the same runtime execution pattern.
   • BSplit the data into multiple blob containers. Create an indexer for each container. Increase the search units. Within each indexer definition, schedule a sequential execution pattern.
   • CCreate a Cognitive Search service for each type of document.
   • DSplit the data into multiple virtual folders. Create an indexer for each folder. Increase the search units. Within each indexer definition, schedule the same runtime execution pattern.

   Show answer

   Answer: D

   Explanation

   D is the answer. https://learn.microsoft.com/en-us/azure/search/search-howto-large-index#run-indexers-in-parallel If you partition your data, you can create multiple indexer-data-source combinations that pull from each data source and write to the same search index. Because each indexer is distinct, you can run them at the same time, populating a search index more quickly than if you ran them sequentially. Make sure you have sufficient capacity. One search unit in your service can run one indexer at any given time. Creating multiple indexers is only useful if they can run in parallel.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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7. Question 227 · 328 in bank

   HOTSPOT - You have an Azure subscription that contains an Azure AI Document Intelligence resource named DI1. You build an app named App1 that analyzes PDF files for handwritten content by using DI1. You need to ensure that App1 will recognize the handwritten content. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   I Think field one should be "prebuilt-read" as this is a model suitable for OCR with handwritten documents according to ChatGPT.

   Source: Adapted from community discussion — cheetah313

   References

   • Microsoft Learn

   

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8. Question 228 · 328 in bank

   DRAG DROP - You have an Azure subscription that contains a storage account named sa1 and an Azure AI Document Intelligence resource named DI1. You need to create and train a custom model in DI1 by using Document Intelligence Studio. The solution must minimize development effort. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   I think the answer is as follows. Create a custom model project and link the project to sa1 Upload five sample documents. Apply labels to the sample documents. Train and test the model.

   Source: Adapted from community discussion — gadez1234

   References

   • Microsoft Learn
   • Microsoft Learn

   

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9. Question 229 · 328 in bank

   DRAG DROP - You have an Azure subscription that contains an Azure AI Document Intelligence resource named DI1 and a storage account named sa1. The sa1 account contains a blob container named blob1 and an Azure Files share named share1. You plan to build a custom model named Model1 in DI1. You create sample forms and JSON files for Model1. You need to train Model1 and retrieve the ID of the model. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Microsoft copilot: Upload the forms and JSON files to blob1: Ensure that your sample forms and JSON files are uploaded to the blob container named blob1 in the storage account sa1. Create a shared access signature (SAS) URL for blob1: Generate a SAS URL for the blob container to provide secure access to the files. Call the Build model REST API function: Use the SAS URL to call the Build model REST API function in DI1 to start the training process. Call the Get model REST API function: After the training is complete, call the Get model REST API function to retrieve the ID of Model1.

   Source: Adapted from community discussion — Christian_garcia_martin

   References

   • Microsoft Learn

   

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10. Question 230 · 328 in bank

    You have an Azure subscription that contains an Azure AI Document Intelligence resource named AIdoc1. You have an app named App1 that uses AIdoc1. App1 analyzes business cards by calling business card model v2.1. You need to update App1 to ensure that the app can interpret QR codes. The solution must minimize administrative effort. What should you do first?

    • AUpgrade the business card model to v3.0.
    • BImplement the read model.
    • CDeploy a custom model.
    • DImplement the contract model.

    Show answer

    Answer: B

    Explanation

    My answer is based on the model v4.0. According to my link: https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/model-overview?view=doc-intel-4.0.0#model-analysis-features Barcode isn't supported in the prebult Business card model. It's optional in the Read model and enabled in the Contract model. I go for the contract model because of the minimize administrative effort. I will cost more to set it up from the start but since Read can't ensure the QR-reading but if the QR-read fails there will be manual labour fixing it, which can potentially be a lot of work.

    Source: Adapted from community discussion — chrillelundmark

    References

    • Microsoft Learn
    • Microsoft Learn
    • Microsoft Learn
    • Microsoft Learn

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AI-102 practice, question 221. 328 questions available.