Exam AI-102 topic 1 question 3 discussion

according to https://learn.microsoft.com/en-us/azure/ai-services/language-service/overview Azure AI Language now unifies the Text Analyrics, QnA Maker and LUIS. So in my opinion, the question is obsolete.

Dispatch is used to route the user's query to the appropriate model (LUIS, QnA Maker, or others). 🔸 Translator is needed for multilingual support.

LUIS → Understands user intent and supports multilingual. Text Analytics → Does sentiment analysis. QnA Maker → For chit-chat and FAQ knowledge base. So Other options don’t meet all features. Only C checks all boxes

Option C: Language Understanding, Text Analytics, and QnA Maker • Language Understanding = LUIS, handles intent detection. • Text Analytics = handles sentiment analysis. • QnA Maker = handles chit-chat and knowledge base. This meets all three requirements. Why not A? Option A: QnA Maker, Language Understanding, and Dispatch • QnA Maker handles knowledge base and chit-chat. • Language Understanding (LUIS) enables intent and entity recognition. • Dispatch routes to different services, including QnA or LUIS, based on user input. BUT: No sentiment analysis capability included

it should be D as it meets all 3 requirements

C. Language Understanding, Text Analytics, and QnA Maker It meets all the functional requirements: Chitchat + KB → QnA Maker Multilingual → LUIS and QnA both support it natively Sentiment → Text Analytics Model selection → handled by bot framework routing logic or Dispatch (not strictly required if you're only using two models)

Why the others don’t fully match: A. QnA Maker, Language Understanding, and Dispatch No sentiment analysis or multilingual support. B. Translator, Speech, and Dispatch No sentiment analysis or knowledge base. C. Language Understanding, Text Analytics, and QnA Maker Lacks multilingual capability and automatic model selection.

A: no sentiment analysis B: don't need speech and no sentiment analysis C: can't select the best language model automatically. -> no dispatch

The best choice here would be Option A: QnA Maker, Language Understanding, and Dispatch. Here's why: - QnA Maker supports the knowledge base requirement. - Language Understanding (LUIS) supports chit-chat by interpreting user intents and entities. - Dispatch helps in selecting the best language model automatically and routing the requests to the appropriate service. The combination of these three components covers all the necessary requirements for your chatbot. Option B and D do not include the knowledge base component, and Option C lacks the automatic selection of the best language model.

C for me QnA Maker is needed for chatbot chit-chat and knowledge base so this eliminates B and D Sentiment Analysis can be done by Text Analytics

Option A (QnA Maker, Language Understanding, and Dispatch): This combination supports chit-chat, knowledge base, multilingual models, and automatic language model selection through Dispatch. Option C (Language Understanding, Text Analytics, and QnA Maker): This option includes Text Analytics for sentiment analysis but lacks Dispatch for automatic model selection. Option D (Text Analytics, Translator, and Dispatch): This option includes Text Analytics and Dispatch but lacks QnA Maker for knowledge bases. Given these considerations, Option A would be the most suitable choice as it covers all requirements through the combined capabilities of QnA Maker, Language Understanding, and Dispatch.

Language Understanding include Sentiment analysis. And use the Bot framework Dispatch CLI tool to help build a process to work with both services(Language Understanding, QnA Maker). So Answer is A https://learn.microsoft.com/en-us/azure/ai-services/luis/luis-reference-prebuilt-sentiment?tabs=english

C is the correct answer

I think the answer option is A (see https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/choose-natural-language-processing-service)

C is right answer.

C is right.

As Luis is outdated (with its Dispatch option), I must be C