AI-102 exam dumps

AI-102 practice question 342 of 493

Designing and Implementing a Microsoft Azure AI Solution. Professional level, Microsoft. Free question with the correct answer and a full explanation.

AI-102 Question 342

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You are tasked with creating a multi-language question answering solution using Azure Cognitive Services for a global e-commerce platform. The platform must support users asking questions in English, Spanish, and French, and provide accurate answers in the same language as the question. Which combination of Azure services and features should you use to implement this solution?

  1. A

    Azure Language Studio's Question Answering feature with multi-language knowledge bases

  2. B

    Azure Translator to translate all questions to English before processing them with Question Answering

  3. C

    Azure Cognitive Search to index documents in English, Spanish, and French

  4. D

    Azure Speech to Text for converting spoken questions into text

  5. E

    Azure Synapse Analytics for analyzing customer queries in multiple languages

Show answer and explanation

Correct answers: A, B, D

Explanation

To create a multi-language question answering solution, you need a combination of Azure services that support multi-language capabilities. Azure Language Studio's Question Answering feature enables you to create multi-language knowledge bases. For normalization or fallback, Azure Translator can translate questions into a common language (e.g., English) before they are processed. Azure Speech to Text allows handling spoken questions, ensuring accessibility for users who prefer voice input. Azure Cognitive Search and Synapse Analytics, while valuable in other scenarios, are not directly applicable to this specific task.

  • A. Correct.

    Azure Language Studio's Question Answering feature supports multi-language knowledge bases, allowing you to create a solution that can handle questions and answers in multiple languages natively.

  • B. Correct.

    Azure Translator can be used to translate questions into English to normalize them before processing, especially if your knowledge base is primarily in English.

  • C. Incorrect.

    While Azure Cognitive Search can index documents in multiple languages, it is not part of the core solution for a multi-language question answering system. It is primarily used for document search, not for multi-language Q&A.

  • D. Correct.

    Azure Speech to Text can convert spoken questions into text, enabling the system to process spoken queries in multiple languages.

  • E. Incorrect.

    Azure Synapse Analytics is a powerful tool for data analysis, but it is not directly relevant to creating a multi-language question answering solution.

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