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To create a multi-language question answering solution using Microsoft Azure AI, we can leverage the power
of Azure Cognitive Services, specifically the QnA Maker service. QnA Maker is a cloud-based API service that
enables us to create a knowledge base and utilize natural language processing for question and answer scenarios.
Here’s an example of how to use the QnA Maker service in a simple HTML page (assuming you have already obtained
the necessary API key and endpoint URL):
Ask a question:
Answer:
Remember to replace the placeholders (
,
, and
) in the above code with your actual values.
With this integration, you can now provide a user-friendly interface to ask questions in multiple languages and
receive accurate answers from your QnA Maker knowledge base.
In conclusion, by following the steps outlined above and using Azure Cognitive Services, specifically the QnA
Maker service, you can create a robust multi-language question answering solution. This solution can be integrated
into your applications to provide users with accurate answers to their queries.
a) Use Azure Cognitive Services Language Understanding (LUIS) to automatically translate queries.
b) Manually translate queries for each supported language in the application code.
c) Utilize Azure Translator Text API to translate queries on-the-fly.
d) Implement a language detection algorithm to determine the language of the query.
Correct answer: c) Utilize Azure Translator Text API to translate queries on-the-fly.
a) Azure Cognitive Services Speech Service
b) Azure Cognitive Services Translator Text API
c) Azure Cognitive Services Language Understanding (LUIS)
d) Azure Cognitive Services QnA Maker
Correct answer: c) Azure Cognitive Services Language Understanding (LUIS)
a) Azure Bot Service
b) Azure Cognitive Services Search API
c) Azure Cognitive Services Language Understanding (LUIS)
d) Azure Cognitive Services Translator Text API
Correct answer: c) Azure Cognitive Services Language Understanding (LUIS)
a) To store translated user queries for language analysis.
b) To maintain a collection of frequently asked questions in multiple languages.
c) To store translation models used by the application.
d) To create language models for natural language processing.
Correct answer: b) To maintain a collection of frequently asked questions in multiple languages.
a) Azure Cognitive Services Text Analytics
b) Azure Cognitive Services Language Understanding (LUIS)
c) Azure Machine Learning service
d) Azure Cognitive Services Translator Text API
Correct answer: a) Azure Cognitive Services Text Analytics
a) To automate the translation process.
b) To improve the accuracy of language detection.
c) To enhance the efficacy of text analysis.
d) To enable accurate understanding and generation of human-like language.
Correct answer: d) To enable accurate understanding and generation of human-like language.
a) Azure Cognitive Services Speaker Recognition
b) Azure Cognitive Services Language Understanding (LUIS)
c) Azure Translator Text API
d) Azure Cognitive Services Text Analytics
Correct answer: c) Azure Translator Text API
a) Implement separate question answering systems for each supported language.
b) Utilize language detection algorithms to direct queries to appropriate language models.
c) Train a single language model that can understand all supported languages.
d) Use Azure Translator Text API to manually translate queries before processing.
Correct answer: b) Utilize language detection algorithms to direct queries to appropriate language models.
a) It provides real-time translation of user queries.
b) It enables voice-based interaction with the question answering system.
c) It automatically detects the language of user queries.
d) It improves the speed of query processing.
Correct answer: b) It enables voice-based interaction with the question answering system.
a) Azure Bot Service
b) Azure Container Instances
c) Azure Batch AI
d) Azure Machine Learning service
Correct answer: a) Azure Bot Service
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