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AI-102 · Question #112

Case Study 2 - Contoso, Ltd. General Overview Contoso, Ltd. is an international accounting company that has offices in France. Portugal, and the United Kingdom. Contoso has a professional services…

The correct answer is C. an indexer for Azure Cosmos DB attached to a skillset that contains the document extraction skill. The wiki contains text in English, French and Portuguese. Scenario: All planned projects must support English, French, and Portuguese. The Document Extraction skill extracts content from a file within the enrichment pipeline. This allows you to take advantage of the document…

Submitted by priya_blr· Mar 30, 2026Implement Knowledge Mining solutions

Question

Case Study 2 - Contoso, Ltd. General Overview Contoso, Ltd. is an international accounting company that has offices in France. Portugal, and the United Kingdom. Contoso has a professional services department that contains the roles shown in the following table. Infrastructure Contoso has the following subscriptions: - Azure - Microsoft 365 - Microsoft Dynamics 365 Azure Active (Azure AD) Directory Contoso has Azure Active Directory groups for securing role-based access. The company uses the following group naming conventions: - ICountryJ-[Levell-[Role] - [Level]-[Role] Intellectual Property Contoso has the intellectual property shown in the following table. Text-based content is provided only in one language and is not translated. Planned Projects Contoso plans to develop the following: - A document processing workflow to extract information automatically from PDFs and images of financial documents - A customer-support chatbot that will answer questions by using FAQs - A searchable knowledgebase of all the intellectual property Technical Requirements Contoso identifies the following technical requirements: - All content must be approved before being published. - All planned projects must support English, French, and Portuguese. - All content must be secured by using role-based access control (RBAC). - RBAC role assignments must use the principle of least privilege. - RBAC roles must be assigned only to Azure Active Directory groups. - Al solution responses must have a confidence score that is equal to or greater than 70 percent. - When the response confidence score of an Al response is lower than 70 percent, the response must be improved by human input. Chatbot Requirements Contoso identifies the following requirements for the chatbot: - Provide customers with answers to the FAQs. - Ensure that the customers can chat to a customer service agent. - Ensure that the members of a group named Management-Accountants can approve the FAQs. - Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs. - Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs. - Ensure that access to the customer service agents is managed by using Omnichannel for Customer Service. - When the response confidence score is low. - Ensure that the chatbot can provide other response options to the customers. Document Processing Requirements Contoso identifies the following requirements for document processing: - The document processing solution must be able to process standardized financial documents that have the following characteristics: - Contain fewer than 20 pages. - Be formatted as PDF or JPEG files. - Have a distinct standard for each office. - The document processing solution must be able to extract tables and text from the financial documents. - The document processing solution must be able to extract information from receipt images. - Members of a group named Management-Bookkeeper must define how to extract tables from the financial documents. - Members of a group named Consultant-Bookkeeper must be able to process the financial documents. Knowledgebase Requirements Contoso identifies the following requirements for the knowledgebase: - Supports searches for equivalent terms - Can transcribe jargon with high accuracy - Can search content in different formats, including video - Provides relevant links to external resources for further research You are developing the knowledgebase by using Azure AI Search. You need to process wiki content to meet the technical requirements. What should you include in the solution?

Options

  • Aan indexer for Azure Blob storage attached to a skillset that contains the language detection 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
  • Dan indexer for Azure Cosmos DB attached to a skillset that contains the language detection skill

How the community answered

(27 responses)
  • A
    4% (1)
  • B
    19% (5)
  • C
    70% (19)
  • D
    7% (2)

Explanation

The wiki contains text in English, French and Portuguese. Scenario: All planned projects must support English, French, and Portuguese. The Document Extraction skill extracts content from a file within the enrichment pipeline. This allows you to take advantage of the document extraction step that normally happens before the skillset execution with files that may be generated by other skills. Note: The Translator Text API will be used to determine the from language. The Language detection skill is not required. https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-document-extraction https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-text-translation

Topics

#Azure AI Search#Document intelligence#Cognitive Search skillsets#Azure Cosmos DB indexer

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