AI-900: Which Azure AI Service is Best for Creating a Bot from an FAQ Document?

Learn which Microsoft Azure AI service – QnA Maker, Text Analytics, Speech, or LUIS – is the optimal choice for building a bot using a frequently asked questions document. Prepare for the AI-900 Azure AI Fundamentals certification exam with this detailed explanation.

Question

In the given scenario, select which type of AI service you should use. Create a bot from a frequently asked questions document. Select the correct option.

A. QnA Maker.
B. Text Analytics.
C. Speech.
D. Language Understanding (LUIS).

Answer

A. QnA Maker.

Explanation

QnA Maker is an Azure Cognitive Service that enables you to create a question-and-answer bot from existing content like FAQ documents, product manuals, and support articles. It uses natural language processing (NLP) to interpret user queries and find the most relevant answer from your knowledge base.

Here’s why QnA Maker is the ideal choice for this scenario:

1. Purpose-built for Q&A: QnA Maker is specifically designed to create conversational question-answering bots. It’s optimized for extracting question-answer pairs from semi-structured content.
2. Easy ingestion of FAQ documents: With QnA Maker, you can simply point it to your FAQ file (in formats like .pdf, .doc, .xlsx, .tsv, or .txt) and it will automatically extract the questions and answers to build your bot’s knowledge base.
3. Intelligent matching of user queries: QnA Maker uses NLP techniques to interpret the intent behind user questions and find the best match from your FAQ, even if the phrasing doesn’t exactly match. It accounts for synonyms and semantic similarity.
4. Integration with chat interfaces: You can easily publish your QnA Maker bot to channels like website chat, Microsoft Teams, or other messaging platforms for end-users to interact with.

The other options listed are Azure AI services but aren’t the right fit for this specific use case:

• Text Analytics: Used for NLP tasks like sentiment analysis, key phrase extraction, and language detection on unstructured text. It doesn’t create bots.
• Speech: Converts spoken audio to text (speech recognition), synthesizes text to speech (speech synthesis), and translates speech. It’s not used for building FAQ bots.
• LUIS: Interprets user intent from conversational queries and extracts relevant entities, but you have to define the intents and provide training examples yourself. It’s great for more complex bots but requires more setup than QnA Maker.

In summary, QnA Maker is purpose-built for easily creating a bot to answer questions based on existing FAQ content, making it the best choice for the given scenario. The natural language capabilities allow it to intelligently match user queries to the most relevant answers extracted from your document.

QnA Maker is designed to create a bot that can answer questions based on a FAQ document, aking it the appropriate choice for this scenario.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.