AI-102 practice questions 71–80

1. Question 71 · 328 in bank

   DRAG DROP - You are developing a solution for the Management-Bookkeepers group to meet the document processing requirements. The solution must contain the following components: ✑ A From Recognizer resource ✑ An Azure web app that hosts the Form Recognizer sample labeling tool The Management-Bookkeepers group needs to create a custom table extractor by using the sample labeling tool. Which three actions should the Management-Bookkeepers group perform in sequence? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order. Select and Place:

   

   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

   Step 1: Create a new project and load sample documents Create a new project. Projects store your configurations and settings. Step 2: Label the sample documents When you create or open a project, the main tag editor window opens. Step 3: Train a custom model. Finally, train a custom model. Reference: https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-tool

   References

   • Microsoft Learn

   

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2. Question 72 · 328 in bank

   You are developing the knowledgebase. You use Azure Video Analyzer for Media (previously Video indexer) to obtain transcripts of webinars. You need to ensure that the solution meets the knowledgebase requirements. What should you do?

   • ACreate a custom language model
   • BConfigure audio indexing for videos only
   • CEnable multi-language detection for videos
   • DBuild a custom Person model for webinar presenters

   Show answer

   Answer: A

   Explanation

   A is the answer. https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-language-model-overview Azure Video Indexer supports automatic speech recognition through integration with the Microsoft Custom Speech Service. You can customize the Language model by uploading adaptation text, namely text from the domain whose vocabulary you'd like the engine to adapt to. Once you train your model, new words appearing in the adaptation text will be recognized, assuming default pronunciation, and the Language model will learn new probable sequences of words.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • azure.microsoft.com documentation
   • Microsoft Learn

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3. Question 73 · 328 in bank

   HOTSPOT - You are planning the product creation project. You need to build the REST endpoint to create the multilingual product descriptions. How should you complete the URI? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

   

   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

   Box 1: api.cognitive.microsofttranslator.com Translator 3.0: Translate. Send a POST request to: https://api.cognitive.microsofttranslator.com/translate?api-version=3.0 Box 2: /translate - Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate

   Source: Adapted from community discussion — SuperPetey

   References

   • Microsoft Learn
   • Microsoft Learn

   

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4. Question 74 · 328 in bank

   You need to develop an extract solution for the receipt images. The solution must meet the document processing requirements and the technical requirements. You upload the receipt images to the Form Recognizer API for analysis, and the API returns the following JSON.

   

   Which expression should you use to trigger a manual review of the extracted information by a member of the Consultant-Bookkeeper group?

   • AdocumentResults.docType == "prebuilt:receipt"
   • BdocumentResults.fields.*.confidence < 0.7
   • CdocumentResults.fields.ReceiptType.confidence > 0.7
   • DdocumentResults.fields.MerchantName.confidence < 0.7

   Show answer

   Answer: B

   Explanation

   I think the correct answer is B because that expression evaluates whether the confidence score of any field in the extracted information is less than 70 percent. Option D focus on a specific field (MerchantName) but do not consider the overall confidence score across all fields

   Source: Adapted from community discussion — rdemontis

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5. Question 75 · 328 in bank

   Select 3

   You are developing the smart e-commerce project. You need to implement autocompletion as part of the Cognitive Search solution. Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

   • AMake API queries to the autocomplete endpoint and include suggesterName in the body.
   • BAdd a suggester that has the three product name fields as source fields.
   • CMake API queries to the search endpoint and include the product name fields in the searchFields query parameter.
   • DAdd a suggester for each of the three product name fields.
   • ESet the searchAnalyzer property for the three product name variants.
   • FSet the analyzer property for the three product name variants.

   Show answer

   Answer: ABF

   Explanation

   Let us eliminate the wrong answers: C. Make API queries to the search endpoint and include the product name fields in the searchFields query parameter. - as we need autocomplete endpoint, we rule this one out as this is for a search endpoint D. Add a suggester for each of the three product name fields. - we cannot have 3 suggesters. E. Set the searchAnalyzer property for the three product name variants. - searchAnalyzer helps in search not in autocomplete. So A, B, F

   Source: Adapted from community discussion — ziggy1117

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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6. Question 76 · 328 in bank

   Select 2

   You are developing the document processing workflow. You need to identify which API endpoints to use to extract text from the financial documents. The solution must meet the document processing requirements. Which two API endpoints should you identify? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

   • A/vision/v3.1/read/analyzeResults
   • B/formrecognizer/v2.0/custom/models/{modelId}/analyze
   • C/formrecognizer/v2.0/prebuilt/receipt/analyze
   • D/vision/v3.1/describe
   • E/vision/v3.1/read/analyze

   Show answer

   Answer: BC

   Explanation

   To meet Contoso’s document processing requirements for standardized financial documents, consider the following two API endpoints: /formrecognizer/v2.0/custom/models/{modelId}/analyze: This endpoint is ideal for extracting information from financial documents. It allows you to analyze custom models specifically designed for invoices and receipts. With this API, you can extract both tables and text from documents that adhere to distinct standards for each office1. /formrecognizer/v2.0/prebuilt/receipt/analyze: Designed for receipt analysis, this endpoint simplifies the extraction of relevant data from receipt images. It’s well-suited for handling financial paperwork in PDF or JPEG formats, especially when dealing with documents containing fewer than 20 pages1. By utilizing these endpoints, you can efficiently process financial documents, extract essential information, and enhance your document processing workflow.

   Source: Adapted from community discussion — Murtuza

   References

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

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7. Question 77 · 328 in bank

   HOTSPOT - You are developing the knowledgebase by using Azure Cognitive Search. You need to build a skill that will be used by indexers. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

   

   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

   Box 1: "categories": ["Locations", "Persons", "Organizations"], Locations, Persons, Organizations are in the outputs. Scenario: Contoso plans to develop a searchable knowledgebase of all the intellectual property Note: The categories parameter is an array of categories that should be extracted. Possible category types: "Person", "Location", "Organization", "Quantity", "Datetime", "URL", "Email". If no category is provided, all types are returned. Box 2: {"name": " entities"} The include wikis, so should include entities in the outputs. Note: entities is an array of complex types that contains rich information about the entities extracted from text, with the following fields name (the actual entity name. This represents a "normalized" form) wikipediaId wikipediaLanguage wikipediaUrl (a link to Wikipedia page for the entity) etc. Reference: https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition

   Source: Adapted from community discussion — Eltooth

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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8. Question 78 · 328 in bank

   You are developing the knowledgebase by using Azure Cognitive Search. You need to process wiki content to meet the technical requirements. What should you include in the solution?

   • Aan indexer for Azure Blob storage attached to a skillset that contains the language detection skill and the text translation skill
   • Ban indexer for Azure Blob storage attached to a skillset that contains the language detection skill
   • Can indexer for Azure Cosmos DB attached to a skillset that contains the document extraction skill and the text translation skill
   • Dan indexer for Azure Cosmos DB attached to a skillset that contains the language detection skill and the text translation skill

   Show answer

   Answer: D

   Explanation

   The correct answer is D. Use an indexer connected to Azure Cosmos DB that includes language detection and text translation skills. This solution meets the requirement for handling multiple languages and supports content transformation for English, French, and Portuguese by using the text translation skill, which aligns with the technical requirement for multilingual support. Additionally, using Azure Cosmos DB and associated skill sets ensures content security and role-based access control (RBAC), meeting the requirements for content approval and security.

   Source: Adapted from community discussion — evangelist

   References

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

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9. Question 79 · 328 in bank

   You are developing the knowledgebase by using Azure Cognitive Search. You need to meet the knowledgebase requirements for searching equivalent terms. What should you include in the solution?

   • Asynonym map
   • Ba suggester
   • Ca custom analyzer
   • Da built-in key phrase extraction skill

   Show answer

   Answer: A

   Explanation

   A is the answer. https://learn.microsoft.com/en-us/azure/search/search-synonyms Within a search service, synonym maps are a global resource that associate equivalent terms, expanding the scope of a query without the user having to actually provide the term. For example, assuming "dog", "canine", and "puppy" are mapped synonyms, a query on "canine" will match on a document containing "dog".

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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10. Question 80 · 328 in bank

    HOTSPOT - You are developing the shopping on-the-go project. You need to build the Adaptive Card for the chatbot. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

    

    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

    Box 1: name [language] Chatbot must support interactions in English, Spanish, and Portuguese. Box 2: "$when:${stockLevel != 'OK'}" Product displays must include images and warnings when stock levels are low or out of stock. Box 3: image.altText[language]

    Source: Adapted from community discussion — syupwsh

    

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AI-102 practice, question 71. 328 questions available.