Exam AI-102 topic 7 question 2 discussion

B. Language Understanding Explanation: To meet the requirement that the chatbot must support English, French, and Portuguese and provide other response options when the response confidence score is low, the Language Understanding component (often referred to as LUIS - Language Understanding Intelligent Service) is needed. LUIS allows the bot to understand the user's intent in multiple languages and can help to provide alternative responses. Microsoft Translator could translate between languages, but it does not handle intent understanding, so it's not the best choice here. Orchestrator is more about managing multiple LUIS and QnA Maker models, which isn't specified in the requirements. Chatdown is a tool for creating mockups of chatbot conversations but doesn't provide the functionality needed to meet the requirements.

A is correct answer. "If you need to support a knowledge base system, which includes several languages, you can: 1) Use the Translator service to translate a question into a single language before sending the question to your knowledge base. This allows you to focus on the quality of a single language and the quality of the alternate questions and answers. 2) Create a QnA Maker resource, and a knowledge base inside that resource, for every language. This allows you to manage separate alternate questions and answer text that is more nuanced for each language. This gives you much more flexibility but requires a much higher maintenance cost when the questions or answers change across all languages." https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support#supporting-multiple-languages-in-one-knowledge-base

C. Orchestrator Orchestrator is the better choice for this specific scenario because: - The case specifically mentions needing to handle low confidence scores by providing alternative options, which is a core function of Orchestrator - The integration with Omnichannel for Customer Service would be more directly handled by Orchestrator - The existing QnA Maker resource already covers basic question answering, but lacks the orchestration layer to manage the various routing requirements While Language Understanding would improve the natural language capabilities, the more critical missing component based on the requirements appears to be the orchestration layer.

B to me based on https://learn.microsoft.com/en-us/azure/ai-services/luis/luis-language-support#multilingual-luis-apps

To meet the technical and chatbot requirements, you need an additional component that can handle the following tasks: Understand user intents and handle diverse customer queries, not just FAQs. Provide alternate options when confidence scores are low. Process and comprehend questions in English, French, and Portuguese.

C 100%

Answer is B

Language Understanding for me and Chat GPT

Selected Answer: B

It should be Language understanding, that can cover all the scenarios - understanding utterances, intents, language detection etc https://learn.microsoft.com/en-gb/training/modules/build-language-understanding-model/2a-understand-prebuilt-capabilities

C is correct answer.

Microsoft Translator

B. is the closest. Q&A Maker will become custom question answering within AI language. https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/tutorials/multiple-languages The language for the incoming user query can be detected with the Language Detection API and the user can call the appropriate endpoint and project depending on the detected language.

must be A

Orchestrator is the correct answer while the other choices are very close to being the right answer as well

To meet both the technical and chatbot requirements, you should add Language Understanding (LUIS) to your chatbot solution.

Orchestrator is a replacement for the now deprecated Bot Framework Dispatcher.